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Deep Learning for humans

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This PR uses the `with` statement and the `.join` function to make the code more Pythonic and Succinct.

keras-team-review-pending
size:M

**Here's why we have that policy:**. Keras developers respond to issues. We want to focus on work that benefits the whole community, e.g., fixing bugs and adding features. Support only...

type:support
type:feature

Optimizer backward compatibility fixes. 1. Add back the return value of `apply_gradients()` to keep backward compatibility. 2. Add back the name arg of `apply_gradients()`.

I am trying to create a multi-class classification model with Keras and it appears that when I try to fit the model, the shapes in the output are different that...

Hi, In order to standardize the f-string usage of the whole codebase I have added [flynt](https://github.com/ikamensh/flynt) to the `format` and `lint` scripts. This avoids multiple ["f-string"](https://github.com/keras-team/keras/pulls?page=1&q=f-string) one line pull requests...

ready to pull
size:XL

additionally allows to reduce with `sum` to account for the metrics/losses divided by global batch size - when training using custom training step and MirroredStrategy. This addresses https://github.com/keras-team/keras/issues/15509

ready to pull
keras-team-review-pending
size:S

**System information**. TensorFlow version (you are using): 2.8.2 Are you willing to contribute it (Yes/No) : yes **Describe the feature and the current behavior/state**. Currently, when trying to fit a...

type:feature

A minimal change that solves the issue is modifying the method ```keras.layers.Layer.trainable_weights()```, in base_layer.py, by replacing it with the analogous method of keras.Model. But still I have some questions: Does...

size:S

**System information**. - Have I written custom code (as opposed to using a stock example script provided in Keras): Yes - OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Windows...

type:bug/performance
keras-team-review-pending

Currently an assumption is made that slot variables have the same dtype as the variable, which prevents experimentation. From digging around a solution is to: 1. Extend `SlotVariableReference` proto in...

type:feature