How can keras be applied to research like when making custom models from scratch?
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Here are a few guides about that: - Intro to Keras for researchers: https://keras.io/getting_started/intro_to_keras_for_researchers/ … - Making layers & models from scratch: https://keras.io/guides/making_new_layers_and_models_via_subclassing/ … - Customizing what happens in `fit`: https://keras.io/guides/customizing_what_happens_in_fit/ … - Writing training loops from scratch:https://keras.io/guides/writing_a_training_loop_from_scratch/ …
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Many people are asking "what is keras" but nobody is asking "how is keras"
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This is not FAQ, but it will be good to see a note about setting multiple targets on “Structured data classification from scratch” example.
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Design principles of the API's.
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Why is keras better than PyTorch ? Would love to this added to FAQ. [Just kidding]
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How to save a model when subclassing!
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How can I create a custom layer ?
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How to design a sequence to sequence model where length of output is different from the inputs
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