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customtrainingloop

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imehranasgari / DL_TensorFlow_LowLevelAPI_CustomTrainingLoop

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An end-to-end implementation of a custom training and validation loop for a CNN on the Fashion MNIST dataset. This project demonstrates low-level model training using tf.GradientTape and tf.keras.metrics, without relying on model.fit().

api deep-learning interactive tensorflow numpy keras cnn classification matplotlib regularization gans adam custom-training-loop lowlevelapi customtrainingloop dnn-custom-training low-level-api-tensorflow
  • Updated Aug 17, 2025
  • Jupyter Notebook

imehranasgari / DL_TensorFlow_LowLevelAPI_CustomTrainingLoop_LinearRegression

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Implementation of Linear Regression using TensorFlow's low-level API with a custom tf.GradientTape training loop. Covers manual gradient computation, weight updates, and visualization of predictions vs actual values for educational understanding of core training mechanics.

api deep-learning interactive tensorflow numpy regression matplotlib linearregression custom-training-loop lowlevelapi customtrainingloop training-loops low-level-api-tensorflow
  • Updated Aug 17, 2025
  • Jupyter Notebook

imehranasgari / DL_TensorFlow_LowLevelAPI_CustomTrainingLoop_GradientTape

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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
  • Jupyter Notebook

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