[GSoC] TF 2.0 Custom ResNet Training

[Vishal-V]

• Custom ResNet model for the TinyImageNet dataset without transfer learning.
• Efficient model with tf.keras.layers.SeparableConv2D and Resizing strategy with ECLR to train with colab-like resource constrained environments.
• TF 2.0 compatible model and associated training and regularization strategies to be colab friendly.
• Uses tf.keras and eager by default with option to train with tf.GradientTape() eagerly.
• Graph mode training with tf.keras.ImageDataGenerator and custom image pre-processing functions.

[review-notebook-app[bot]]

Check out this pull request on ReviewNB: https://app.reviewnb.com/tensorflow/examples/pull/79

You'll be able to see visual diffs and write comments on notebook cells. Powered by ReviewNB.

[MarkDaoust]

Cool, it sounds like you've got this under control, I think we're good to merge this once you have those changes uploaded.

[Vishal-V]

@MarkDaoust I did not mean to dismiss the review. The commit I added automatically raised that message. The notebook is ready for review.

[lamberta]

As mentioned in the other PR, this community/ directory has been deprecated. We're no longer accepting pull requests here. Unclear where the rest of this PR stands, though.

[MarkDaoust]

Sorry this didn't work out.