Merge branch 'main' of https://github.com/allegroai/clearml-docs into images_3

docs/guides/advanced/execute_remotely.md

@@ -28,7 +28,7 @@ moved to be executed by a stronger machine.
 
 During the execution of the example script, the code does the following:
 * Uses ClearML's automatic and explicit logging.
-* Creates an task named `Remote_execution PyTorch MNIST train` in the `examples` project.
+* Creates a task named `Remote_execution PyTorch MNIST train` in the `examples` project.
 
 
 ## Scalars

docs/guides/frameworks/pytorch/pytorch_abseil.md

@@ -9,7 +9,7 @@ The example script does the following:
 * Trains a simple deep neural network on the PyTorch built-in [MNIST](https://pytorch.org/vision/stable/datasets.html#mnist)
   dataset
 * Creates a task named `pytorch mnist train with abseil` in the `examples` project
-* ClearML automatically logs the absl.flags, and the models (and their snapshots) created by PyTorch 
+* ClearML automatically logs the `absl.flags`, and the models (and their snapshots) created by PyTorch 
 * Additional metrics are logged by calling [`Logger.report_scalar()`](../../../references/sdk/logger.md#report_scalar)
   
 ## Scalars

docs/guides/frameworks/tensorflow/tensorflow_mnist.md

@@ -4,7 +4,7 @@ title: TensorFlow MNIST
 
 The [tensorflow_mnist.py](https://github.com/clearml/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 
-the Keras built-in [MNIST](https://www.tensorflow.org/api_docs/python/tf/keras/datasets/mnist) handwritten digits dataset. 
+the Keras built-in [MNIST](https://www.tensorflow.org/api_docs/python/tf/keras/datasets/mnist) handwritten digit dataset. 
 
 When the script runs, it creates a task named `Tensorflow v2 mnist with summaries` in the `examples` project.