Looks more like pytorch
One of the big changes in TF 2.0 is how easy it is to write custom training loops for your models: https://www.tensorflow.org/beta/guide/keras/training_and_evaluation#part_ii_writing_your_own_training_evaluation_loops_from_scratch …pic.twitter.com/e1a8j9M8rN
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Largely inspired from pytorch :)
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Why the record of the forward op with gradienttape is not transparent for the user? I mean you need a model, an input, a loss function and and output. Then you can apply the gradient.
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Yes I love this API, also you can do stuff like gradient accumulation with it, I should probably write a tutorial for it
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Finally something usable. Juste like PyTorch is from the beginning ! Keras is awesome for beginners and for most of non-research works. But tf...
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Isn’t it faster to compute and apply grads under
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What is most preferred between : http://model.fit () vs. GradientTape() Referring to: https://www.tensorflow.org/beta/guide/keras/functional … https://www.tensorflow.org/beta/guide/keras/custom_layers_and_models …
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