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docs/guides/frameworks/tensorflow/tensorflow_mnist.md
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@@ -3,7 +3,7 @@ title: TensorFlow MNIST
---
The [tensorflow_mnist.py](https://github.com/allegroai/clearml/blob/master/examples/frameworks/tensorflow/tensorflow_mnist.py)
example demonstrates the integration of **ClearML** into code that uses TensorFlow and Keras to train a neural network on
example demonstrates the integration of ClearML into code that uses TensorFlow and Keras to train a neural network on
the Keras built-in [MNIST](https://www.tensorflow.org/api_docs/python/tf/keras/datasets/mnist) handwritten digits dataset.
The script builds a TensorFlow Keras model, and trains and tests it with the following:
@@ -24,7 +24,7 @@ The loss and accuracy metric scalar plots appear in the experiment's page in the
## Hyperparameters
**ClearML** automatically logs TensorFlow Definitions. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS**
ClearML automatically logs TensorFlow Definitions. They appear in **CONFIGURATIONS** **>** **HYPER PARAMETERS**
**>** **TF_DEFINE**.
![image](../../../img/examples_tensorflow_mnist_01.png)
@@ -37,18 +37,13 @@ All console output appears in **RESULTS** **>** **CONSOLE**.
## Artifacts
Model artifacts associated with the experiment appear in the info panel of the **EXPERIMENTS** tab and in the info panel
of the **MODELS** tab.
The experiment info panel shows model tracking, including the model name and design (in this case, no design was stored).
Models created by the experiment appear in the experiment’s **ARTIFACTS** tab. ClearML automatically logs and tracks
models and any snapshots created using TensorFlow.
![image](../../../img/examples_tensorflow_mnist_03.png)
The model info panel contains the model details, including:
* Model design
* Label enumeration
* Model URL
* Framework
* Snapshot locations.
Clicking on a model’s name takes you to the [model’s page](../../../webapp/webapp_model_viewing.md), where you can
view the model’s details and access the model.
![image](../../../img/examples_tensorflow_mnist_10.png)