gradienttape

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imehranasgari / DL_TensorFlow_LowLevelAPI_CustomTrainingLoop_GradientTape

A hands-on guide to automatic differentiation in TensorFlow using tf.GradientTape. Covers computing gradients for variables vs. constants, using tape.watch(), visualizing derivatives, and handling multiple parameters.

api deep-learning interactive tensorflow matplotlib gradients gans backpropagation sigmoid gradienttape custom-training-loop customtrainingloop lowlevelap0 low-level-api-tensorflow

Updated Aug 17, 2025
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AshishBodhankar / MNIST_classification_Tensorflow_no_keras

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Understanding the performance of different neural network architectures on the MNIST handwritten digits dataset, implemented in Tensorflow.

tensorflow cnn mnist regularization tensorflow-models categorical-cross-entropy mnist-handwriting-recognition sequential-models gradienttape custom-tensorflow

Updated Dec 13, 2021
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