Fight Fraud with Machine Learning by welcome.html

Author:welcome.html
Language: eng
Format: epub

In this book, we use PyTorch for writing deep-learning code. However, that should not be a blocker for using TensorFlow/Keras instead, as the PyTorch and TensorFlow/Keras syntaxes are quite similar. Both construct the neural network in a modular manner, layer by layer, with activations added in between. Only difference is in the code structure where PyTorch code defines a model class with separate initialization and forward-pass methods, while TensorFlow/Keras code first defines an empty callable model object and stacks up layers and activations on top of it.

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