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The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

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When training the batch normalized model, it throws this error: ```bash InvalidArgumentError: Graph execution error: ... File "/home/name/.local/lib/python3.8/site-packages/keras/layers/normalization/batch_normalization.py", line 571, in _fused_batch_norm_training return tf.compat.v1.nn.fused_batch_norm( Node: 'model_4/batch_normalization_14/FusedBatchNormV3' DML doesn't support exponential_avg_factor...

Getting the following error , when trying to run vae.train ` TypeError: in user code: File "C:\Users\arind\anaconda3\envs\tf\lib\site-packages\keras\engine\training.py", line 1051, in train_function * return step_function(self, iterator) File "C:\Users\arind\anaconda3\envs\tf\lib\site-packages\keras\engine\training.py", line 1040, in...

I am running on Ubuntu 18.04 with Python 3.6.9 and when running 03_03_vae_digits_train I encounter the following error: ```py vae.train( x_train , batch_size = BATCH_SIZE , epochs = EPOCHS ,...

I opened the Jupyter notebook, clicked "Run all cells". Execution failed at: ``` (x_train, y_train) = load_safari(DATA_NAME) ``` ...with the error: ``` --------------------------------------------------------------------------- ZeroDivisionError Traceback (most recent call last) in...

can not find data/qa/train.csv file。so the 06_02_qa_train can not work!

I try to run this on Google Colab (TF 2.3) (Branch=tensorflow_2) I downloaded the image from https://www.kaggle.com/jessicali9530/celeba-dataset and only placed about 1000 jpg files and changed epoch to 10 from...

Can any one advise how. to solve. this error? I'm using the tensorflow 2.0 branch The model summaries both for encoder and decoder match exactly what is in the book,...

Hi, Thanks for the great book. I am trying to run _03_01_autoencoder_train.ipynb_ on Google Colaboratory. However, I am getting this error: ``` FileNotFoundError Traceback (most recent call last) in ()...

In translation of book about deep learning and generative modelling it is said that in WGAN-GP models we should cut normalisation layers. This is strange because i can still see...