An in-depth guide to customizing model.fit() in TensorFlow/Keras by overriding the train_step function. Covers the manual implementation of the forward pass, loss calculation, gradient application, and metric updates. Includes a basic GAN implementation as a practical example.
deep-learning interactive tensorflow numpy keras gan gans custom-training-loop lowlevelapi customizing-fit customtrainfit low-level-api-tensorflow
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Updated
Aug 17, 2025 - Jupyter Notebook