Related Issues (20)
- 03_05_VAE_faces_train, Keras Functional model construction only supports TF API calls that *do* support dispatching, such as `tf.math.add` or `tf.reshape`. Other APIs cannot be called directly on symbolic Kerasinputs/outputs. You can work around this limitation by putting the operation in a custom Keras layer `call` and calling that layer on this symbolic input/output. HOT 3
- 06_02_qa_train has no dataset
- 03_03_vae_digits_train HOT 1
- 02_03 Graph Execution Error
- Docker compose files seems to be missing HOT 1
- Error in 03_03 VAE_train HOT 1
- requirements.txt wants to create an inconsistent environment
- Mismatch size rasied at categorical_crossentropy
- cifar10.load_data() is not working
- error during running 03_03_vae_digits_train.ipynb HOT 1
- 04_01_gan_camel_train.ipynb getting "TypeError: cannot pickle '_thread.RLock' object"
- 07_05_musegan_analysis.ipynb - Condition output based on a single midi file in the test phase
- 03_05_vae_faces_train - ValueError: Layer decoder expects 1 input(s), but it received 3 input tensors HOT 2
- 03_05_vae_faces_train.ipynb: unable to save model with {loss:.2f}
- Missing chapter 8 notebook HOT 1
- Any plans to update library for tensorflow 2.x? Comments on keras-contrib's depreciation and migration to tensorflow-addons? HOT 1
- 03_05_vae_faces_train ,UnboundLocalError: local variable 'logs' referenced before assignment HOT 1
- 03_01_autoencoder_train.ipynb: FileNotFoundError: [Errno 2] No such file or directory: 'run/vae/0001_digits' HOT 1
- WGANGP model - how does _build_adversarial work
- Drop normalisation layers in critic
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