Comments (2)
Hello @thephet,
I'm not @davidADSP but this got my attention (because I've recently finished the book and went through almost all of the code and examples). Which part exactly do you refer to? I was also confused in the beginning, because there's some abstraction and not every piece of code is directly in a notebook. The author (David) created some abstractions and helper classes, e.g. in GAN.py, but it is in the repository obviously.
But maybe you're referring to some other piece of code, e.g. Keras internals? Or something else?
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Dear @emres you are right, and I was wrong. I didn't realize the code was in that GAN.py file. I expected all of it to be in the chapter notebooks.
Sorry for this issue, I will close it, it was an error from my side.
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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
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- 02_03 Graph Execution Error
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- Missing chapter 8 notebook HOT 1
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- 03_05_vae_faces_train ,UnboundLocalError: local variable 'logs' referenced before assignment HOT 1
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