There are not many tips provided in the book. But it is really great anyway. If you are a beginner in Deep Learning, you are gonna love it.
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The entire functional api haha
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Use keras through tensorflow. Many are still using the original Keras repo.
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Tensorflow as a backend?
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keras -> tf.keras
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You can actually embed a transform graph into your model by using: model.tft_layer = tf_transform_output.transform_features_layer() Pretty cool! Ref:https://www.tensorflow.org/tfx/guide/keras
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Using layers.Input(tensor=...). I used it e.g. for introducing layer gradients or gradients of output w.r.t. input to operate on it as with normal input.
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Which hyper-parameters in an NN? Could possibly google answer but would be faster if you share...
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