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Keras documentation, hosted live at keras.io

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Hi ! Thanks for the great work and the examples. I was wondering is there is any way to set up a free public bucket / free space to store...

type:bug

In this example https://github.com/keras-team/keras-io/blob/master/examples/rl/actor_critic_cartpole.py, the gradient for the actor is defined as the gradient of loss $L = \sum \ln\pi (reward-value)$. However, since value is also directly dependent on model.variables,...

stale
stat:contributions welcome
type:bug

So we have the Transformers input layer, that do the Input Embedding job and the position encoding context, but then a class like this is apply ``` class SpeechFeatureEmbedding(layers.Layer): def...

stat:awaiting keras-eng
type:support

When i simply do: _prob_bnn_model.save('model')_ after the _run_experiment_ was called on _prob_bnn_model_. [This file](https://github.com/keras-team/keras-io/blob/master/examples/keras_recipes/bayesian_neural_networks.py) **Then I am getting error message:** Traceback (most recent call last): File "gitCopy.py", line 403, in...

stat:awaiting keras-eng
type:bug

My predicted output results of the moving MNIST are not as good as what is visible on the website. The first predicted image appears to be the most accurate, and...

stat:awaiting keras-eng
type:support

Hello. The output of predicting the next frames in Moving MNIST is different from what is shown in the keras examples page. In fact, the network doesn't seem to be...

stat:awaiting keras-eng
type:bug

When loading data for the Monocular Depth Estimation example, the current directory is used for caching of the dataset when calling `tf.keras.utils.get_file()`: https://github.com/keras-team/keras-io/blob/master/examples/vision/depth_estimation.py#L56 In certain situations, this method removes the...

type:docs-bug

Hello I get this error when I try to save the model: cannot be saved because the input shapes have not been set. Usually, input shapes are automatically determined from...

stat:awaiting keras-eng
type:bug

Hi there, I've been following the Keras VAE code example found [here](https://keras.io/examples/generative/vae/) and am trying to train the model against validation data. However, the following error is outputted instead: NotImplementedError:...

stat:awaiting keras-eng
type:bug

I am not sure how this example can work, and perhaps there should be a warning at the top mentioning the required dependencies: https://keras.io/examples/rl/deep_q_network_breakout/ Using the `View in Colab` button...

type:docs-bug