mirror of
https://github.com/clearml/clearml
synced 2025-03-10 05:50:13 +00:00
Updated to tensorflow 2 and added installation commands
This commit is contained in:
danmalowany-allegro
GitHub
parent
54ae340ccb
commit
5abd01fa75
@ -3,76 +3,152 @@
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/usr/local/lib/python3.5/dist-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
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" from ._conv import register_converters as _register_converters\n",
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"Using TensorFlow backend.\n"
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]
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}
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],
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"source": [
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"# Trains - Example of integrating plots and training on jupyter notebook. \n",
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"# In this example, simple graphs are shown, then an MNIST classifier is trained using Keras.\n",
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"\n",
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"from keras.callbacks import TensorBoard, ModelCheckpoint\n",
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"from keras.datasets import mnist\n",
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"from keras.models import Sequential\n",
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"from keras.layers.core import Dense, Dropout, Activation\n",
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"from keras.optimizers import SGD, Adam, RMSprop\n",
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"from keras.utils import np_utils\n",
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"\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"TRAINS Task: overwriting (reusing) task id=8d23de406d0a4159a496b64c7eba0e32\n",
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"======> WARNING! UNCOMMITTED CHANGES IN REPOSITORY https://github.com/allegroai/trains.git <======\n",
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"TRAINS results page: https://demoapp.trainsai.io/projects/087f765c846c4c76a7e9f3d035667d82/experiments/8d23de406d0a4159a496b64c7eba0e32/output/log\n"
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"Requirement already up-to-date: trains in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (0.12.2)\n",
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"Requirement already satisfied, skipping upgrade: attrs>=18.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (19.3.0)\n",
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"Requirement already satisfied, skipping upgrade: urllib3>=1.21.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (1.25.7)\n",
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"Requirement already satisfied, skipping upgrade: typing>=3.6.4 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (3.6.4)\n",
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"Requirement already satisfied, skipping upgrade: funcsigs>=1.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (1.0.2)\n",
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"Requirement already satisfied, skipping upgrade: PyYAML>=3.12 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (5.2)\n",
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"Requirement already satisfied, skipping upgrade: pyjwt>=1.6.4 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (1.7.1)\n",
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"Requirement already satisfied, skipping upgrade: plotly>=3.9.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (4.2.1)\n",
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"Requirement already satisfied, skipping upgrade: requests>=2.20.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (2.22.0)\n",
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"Requirement already satisfied, skipping upgrade: jsonschema>=2.6.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (3.2.0)\n",
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"Requirement already satisfied, skipping upgrade: requests-file>=1.4.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (1.4.3)\n",
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"Requirement already satisfied, skipping upgrade: pigar==0.9.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (0.9.2)\n",
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"Requirement already satisfied, skipping upgrade: psutil>=3.4.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (5.6.7)\n",
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"Requirement already satisfied, skipping upgrade: Pillow>=4.1.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (6.2.1)\n",
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"Requirement already satisfied, skipping upgrade: numpy>=1.10 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (1.18.0)\n",
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"Requirement already satisfied, skipping upgrade: pathlib2>=2.3.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (2.3.5)\n",
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"Requirement already satisfied, skipping upgrade: jsonmodels>=2.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (2.4)\n",
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"Requirement already satisfied, skipping upgrade: future>=0.16.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (0.18.2)\n",
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"Requirement already satisfied, skipping upgrade: pyparsing>=2.0.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (2.4.5)\n",
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"Requirement already satisfied, skipping upgrade: tqdm>=4.19.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (4.41.1)\n",
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"Requirement already satisfied, skipping upgrade: furl>=2.0.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (2.1.0)\n",
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"Requirement already satisfied, skipping upgrade: humanfriendly>=2.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (4.18)\n",
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"Requirement already satisfied, skipping upgrade: six>=1.11.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (1.13.0)\n",
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"Requirement already satisfied, skipping upgrade: python-dateutil>=2.6.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from trains) (2.8.0)\n",
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"Requirement already satisfied, skipping upgrade: retrying>=1.3.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from plotly>=3.9.0->trains) (1.3.3)\n",
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"Requirement already satisfied, skipping upgrade: certifi>=2017.4.17 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from requests>=2.20.0->trains) (2019.11.28)\n",
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"Requirement already satisfied, skipping upgrade: chardet<3.1.0,>=3.0.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from requests>=2.20.0->trains) (3.0.4)\n",
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"Requirement already satisfied, skipping upgrade: idna<2.9,>=2.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from requests>=2.20.0->trains) (2.8)\n",
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"Requirement already satisfied, skipping upgrade: pyrsistent>=0.14.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from jsonschema>=2.6.0->trains) (0.15.6)\n",
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"Requirement already satisfied, skipping upgrade: setuptools in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from jsonschema>=2.6.0->trains) (44.0.0)\n",
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"Requirement already satisfied, skipping upgrade: importlib-metadata; python_version < \"3.8\" in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from jsonschema>=2.6.0->trains) (1.3.0)\n",
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"Requirement already satisfied, skipping upgrade: colorama>=0.3.9 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from pigar==0.9.2->trains) (0.4.3)\n",
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"Requirement already satisfied, skipping upgrade: orderedmultidict>=1.0.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from furl>=2.0.0->trains) (1.0.1)\n",
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"Requirement already satisfied, skipping upgrade: zipp>=0.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from importlib-metadata; python_version < \"3.8\"->jsonschema>=2.6.0->trains) (0.6.0)\n",
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"Requirement already satisfied, skipping upgrade: more-itertools in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from zipp>=0.5->importlib-metadata; python_version < \"3.8\"->jsonschema>=2.6.0->trains) (8.0.2)\n",
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"Requirement already up-to-date: numpy==1.18.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (1.18.0)\n",
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"Requirement already up-to-date: tensorflow==2.0.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (2.0.0)\n",
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"Requirement already satisfied, skipping upgrade: keras-applications>=1.0.8 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (1.0.8)\n",
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"Requirement already satisfied, skipping upgrade: gast==0.2.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (0.2.2)\n",
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"Requirement already satisfied, skipping upgrade: opt-einsum>=2.3.2 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (3.1.0)\n",
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"Requirement already satisfied, skipping upgrade: tensorflow-estimator<2.1.0,>=2.0.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (2.0.1)\n",
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"Requirement already satisfied, skipping upgrade: grpcio>=1.8.6 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (1.26.0)\n",
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"Requirement already satisfied, skipping upgrade: six>=1.10.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (1.13.0)\n",
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"Requirement already satisfied, skipping upgrade: termcolor>=1.1.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (1.1.0)\n",
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"Requirement already satisfied, skipping upgrade: astor>=0.6.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (0.8.1)\n",
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"Requirement already satisfied, skipping upgrade: wheel>=0.26 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (0.33.6)\n",
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"Requirement already satisfied, skipping upgrade: protobuf>=3.6.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (3.11.2)\n",
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"Requirement already satisfied, skipping upgrade: google-pasta>=0.1.6 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (0.1.8)\n",
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"Requirement already satisfied, skipping upgrade: wrapt>=1.11.1 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (1.11.2)\n",
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"Requirement already satisfied, skipping upgrade: numpy<2.0,>=1.16.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (1.18.0)\n",
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"Requirement already satisfied, skipping upgrade: absl-py>=0.7.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (0.9.0)\n",
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"Requirement already satisfied, skipping upgrade: tensorboard<2.1.0,>=2.0.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (2.0.0)\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Requirement already satisfied, skipping upgrade: keras-preprocessing>=1.0.5 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorflow==2.0.0) (1.1.0)\n",
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"Requirement already satisfied, skipping upgrade: h5py in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from keras-applications>=1.0.8->tensorflow==2.0.0) (2.8.0)\n",
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"Requirement already satisfied, skipping upgrade: setuptools in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from protobuf>=3.6.1->tensorflow==2.0.0) (44.0.0)\n",
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"Requirement already satisfied, skipping upgrade: werkzeug>=0.11.15 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard<2.1.0,>=2.0.0->tensorflow==2.0.0) (0.16.0)\n",
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"Requirement already satisfied, skipping upgrade: markdown>=2.6.8 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard<2.1.0,>=2.0.0->tensorflow==2.0.0) (3.1.1)\n",
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"Requirement already up-to-date: tensorboard==2.0.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (2.0.0)\n",
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"Requirement already satisfied, skipping upgrade: markdown>=2.6.8 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard==2.0.0) (3.1.1)\n",
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"Requirement already satisfied, skipping upgrade: werkzeug>=0.11.15 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard==2.0.0) (0.16.0)\n",
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"Requirement already satisfied, skipping upgrade: absl-py>=0.4 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard==2.0.0) (0.9.0)\n",
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"Requirement already satisfied, skipping upgrade: wheel>=0.26; python_version >= \"3\" in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard==2.0.0) (0.33.6)\n",
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"Requirement already satisfied, skipping upgrade: grpcio>=1.6.3 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard==2.0.0) (1.26.0)\n",
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"Requirement already satisfied, skipping upgrade: numpy>=1.12.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard==2.0.0) (1.18.0)\n",
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"Requirement already satisfied, skipping upgrade: protobuf>=3.6.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard==2.0.0) (3.11.2)\n",
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"Requirement already satisfied, skipping upgrade: six>=1.10.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard==2.0.0) (1.13.0)\n",
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"Requirement already satisfied, skipping upgrade: setuptools>=41.0.0 in /home/ec2-user/anaconda3/envs/python3/lib/python3.6/site-packages (from tensorboard==2.0.0) (44.0.0)\n"
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]
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}
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],
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"source": [
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"# Trains - Example of integrating plots and training on jupyter notebook. \n",
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"# In this example, simple graphs are shown, then an MNIST classifier is trained using Keras.!pip install -U pip\n",
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"!pip install -U trains\n",
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"!pip install -U numpy==1.18.0\n",
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"!pip install -U tensorflow==2.0.0\n",
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"!pip install -U tensorboard==2.0.0"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"from tensorflow.keras.callbacks import TensorBoard, ModelCheckpoint\n",
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"from tensorflow.keras.datasets import mnist\n",
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"from tensorflow.keras.models import Sequential\n",
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"from tensorflow.keras.layers import Dense, Dropout, Activation\n",
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"from tensorflow.keras.optimizers import SGD, Adam, RMSprop\n",
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"from tensorflow.keras.utils import to_categorical\n",
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"\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"TRAINS Task: created new task id=83ebee675e9f4b50af88da70be6a30d6\n",
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"2020-01-05 17:51:21,909 - trains.Task - INFO - No repository found, storing script code instead\n",
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"TRAINS results page: https://demoapp.trains.allegro.ai/projects/087f765c846c4c76a7e9f3d035667d82/experiments/83ebee675e9f4b50af88da70be6a30d6/output/log\n"
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]
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}
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],
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"source": [
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"# Connecting TRAINS\n",
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"from trains import Task\n",
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"task = Task.init(project_name = 'examples', task_name = 'notebook example')\n"
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"task = Task.init(project_name = 'examples', task_name = 'notebook example')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"TRAINS Monitor: GPU monitoring failed getting GPU reading, switching off GPU monitoring\n"
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]
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}
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],
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"source": [
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"# Set script parameters\n",
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"task_params = {'num_scatter_samples': 60, 'sin_max_value': 20, 'sin_steps': 30}\n",
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"task_params = task.connect(task_params)\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Simple plots. You can view the plots in experiments results page "
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"task_params = task.connect(task_params)"
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]
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},
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{
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"plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Keras training example\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {
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"scrolled": true
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},
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"metadata": {},
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"outputs": [],
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"source": [
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"# Notice, Updating task_params is traced and updated in TRAINS\n",
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@ -162,17 +229,13 @@
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"task_params['hidden_dim'] = 512\n",
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"batch_size = task_params['batch_size']\n",
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"nb_classes = task_params['nb_classes']\n",
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"nb_epoch = task_params['nb_epoch']\n"
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"nb_epoch = task_params['nb_epoch']"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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}
|
||||
},
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
@ -180,46 +243,59 @@
|
||||
"text": [
|
||||
"60000 train samples\n",
|
||||
"10000 test samples\n",
|
||||
"WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
|
||||
"Instructions for updating:\n",
|
||||
"Colocations handled automatically by placer.\n",
|
||||
"Model: \"sequential\"\n",
|
||||
"_________________________________________________________________\n",
|
||||
"Layer (type) Output Shape Param # \n",
|
||||
"=================================================================\n",
|
||||
"dense_1 (Dense) (None, 512) 401920 \n",
|
||||
"dense (Dense) (None, 512) 401920 \n",
|
||||
"_________________________________________________________________\n",
|
||||
"activation (Activation) (None, 512) 0 \n",
|
||||
"_________________________________________________________________\n",
|
||||
"dense_1 (Dense) (None, 512) 262656 \n",
|
||||
"_________________________________________________________________\n",
|
||||
"activation_1 (Activation) (None, 512) 0 \n",
|
||||
"_________________________________________________________________\n",
|
||||
"dense_2 (Dense) (None, 512) 262656 \n",
|
||||
"dense_2 (Dense) (None, 10) 5130 \n",
|
||||
"_________________________________________________________________\n",
|
||||
"activation_2 (Activation) (None, 512) 0 \n",
|
||||
"_________________________________________________________________\n",
|
||||
"dense_3 (Dense) (None, 10) 5130 \n",
|
||||
"_________________________________________________________________\n",
|
||||
"activation_3 (Activation) (None, 10) 0 \n",
|
||||
"activation_2 (Activation) (None, 10) 0 \n",
|
||||
"=================================================================\n",
|
||||
"Total params: 669,706\n",
|
||||
"Trainable params: 669,706\n",
|
||||
"Non-trainable params: 0\n",
|
||||
"_________________________________________________________________\n",
|
||||
"WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
|
||||
"Instructions for updating:\n",
|
||||
"Use tf.cast instead.\n",
|
||||
"Train on 60000 samples, validate on 10000 samples\n",
|
||||
"Epoch 1/6\n",
|
||||
"60000/60000 [==============================] - 4s 64us/step - loss: 0.2129 - acc: 0.9350 - val_loss: 0.1012 - val_acc: 0.9682\n",
|
||||
"59264/60000 [============================>.] - ETA: 0s - loss: 0.2217 - accuracy: 0.93122020-01-05 17:51:43,884 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:51:43,906 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:51:43,909 - trains - WARNING - too many indices for array\n",
|
||||
"60000/60000 [==============================] - 6s 99us/sample - loss: 0.2206 - accuracy: 0.9316 - val_loss: 0.1300 - val_accuracy: 0.9586\n",
|
||||
"Epoch 2/6\n",
|
||||
"60000/60000 [==============================] - 4s 68us/step - loss: 0.0813 - acc: 0.9752 - val_loss: 0.0684 - val_acc: 0.9779\n",
|
||||
"59264/60000 [============================>.] - ETA: 0s - loss: 0.0808 - accuracy: 0.97512020-01-05 17:51:49,017 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:51:49,039 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:51:49,043 - trains - WARNING - too many indices for array\n",
|
||||
"60000/60000 [==============================] - 5s 84us/sample - loss: 0.0804 - accuracy: 0.9752 - val_loss: 0.0794 - val_accuracy: 0.9765\n",
|
||||
"Epoch 3/6\n",
|
||||
"60000/60000 [==============================] - 4s 62us/step - loss: 0.0540 - acc: 0.9830 - val_loss: 0.0736 - val_acc: 0.9793\n",
|
||||
"59648/60000 [============================>.] - ETA: 0s - loss: 0.0542 - accuracy: 0.98342020-01-05 17:51:54,222 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:51:54,245 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:51:54,248 - trains - WARNING - too many indices for array\n",
|
||||
"60000/60000 [==============================] - 5s 87us/sample - loss: 0.0540 - accuracy: 0.9834 - val_loss: 0.0758 - val_accuracy: 0.9782\n",
|
||||
"Epoch 4/6\n",
|
||||
"60000/60000 [==============================] - 4s 64us/step - loss: 0.0387 - acc: 0.9880 - val_loss: 0.0859 - val_acc: 0.9761\n",
|
||||
"59392/60000 [============================>.] - ETA: 0s - loss: 0.0388 - accuracy: 0.98762020-01-05 17:51:59,298 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:51:59,320 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:51:59,324 - trains - WARNING - too many indices for array\n",
|
||||
"60000/60000 [==============================] - 5s 84us/sample - loss: 0.0387 - accuracy: 0.9876 - val_loss: 0.0836 - val_accuracy: 0.9777\n",
|
||||
"Epoch 5/6\n",
|
||||
"60000/60000 [==============================] - 4s 63us/step - loss: 0.0304 - acc: 0.9904 - val_loss: 0.0875 - val_acc: 0.9766\n",
|
||||
"59520/60000 [============================>.] - ETA: 0s - loss: 0.0282 - accuracy: 0.99142020-01-05 17:52:04,410 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:52:04,433 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:52:04,436 - trains - WARNING - too many indices for array\n",
|
||||
"60000/60000 [==============================] - 5s 85us/sample - loss: 0.0280 - accuracy: 0.9915 - val_loss: 0.0754 - val_accuracy: 0.9811\n",
|
||||
"Epoch 6/6\n",
|
||||
"60000/60000 [==============================] - 4s 64us/step - loss: 0.0220 - acc: 0.9933 - val_loss: 0.0847 - val_acc: 0.9793\n",
|
||||
"Test score: 0.08471047468512916\n",
|
||||
"Test accuracy: 0.9793\n"
|
||||
"59520/60000 [============================>.] - ETA: 0s - loss: 0.0242 - accuracy: 0.99252020-01-05 17:52:09,482 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:52:09,504 - trains - WARNING - too many indices for array\n",
|
||||
"2020-01-05 17:52:09,507 - trains - WARNING - too many indices for array\n",
|
||||
"60000/60000 [==============================] - 5s 85us/sample - loss: 0.0243 - accuracy: 0.9924 - val_loss: 0.0769 - val_accuracy: 0.9824\n",
|
||||
"Test score: 0.07691321085649504\n",
|
||||
"Test accuracy: 0.9824\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@ -237,8 +313,8 @@
|
||||
"print(X_test.shape[0], 'test samples')\n",
|
||||
"\n",
|
||||
"# convert class vectors to binary class matrices\n",
|
||||
"Y_train = np_utils.to_categorical(y_train, nb_classes)\n",
|
||||
"Y_test = np_utils.to_categorical(y_test, nb_classes)\n",
|
||||
"Y_train = to_categorical(y_train, nb_classes)\n",
|
||||
"Y_test = to_categorical(y_test, nb_classes)\n",
|
||||
"\n",
|
||||
"hidden_dim = task_params['hidden_dim']\n",
|
||||
"model = Sequential()\n",
|
||||
@ -266,15 +342,22 @@
|
||||
" verbose=1, validation_data=(X_test, Y_test))\n",
|
||||
"score = model.evaluate(X_test, Y_test, verbose=0)\n",
|
||||
"print('Test score:', score[0])\n",
|
||||
"print('Test accuracy:', score[1])\n"
|
||||
"print('Test accuracy:', score[1])"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3",
|
||||
"display_name": "conda_python3",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
"name": "conda_python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
@ -286,16 +369,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.5.2"
|
||||
},
|
||||
"pycharm": {
|
||||
"stem_cell": {
|
||||
"cell_type": "raw",
|
||||
"metadata": {
|
||||
"collapsed": false
|
||||
},
|
||||
"source": []
|
||||
}
|
||||
"version": "3.6.9"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
Loading…
Reference in New Issue
Block a user