Automatic Differentiation with TensorFlow
In this tutorial we learn how automatic differentiation works in TensorFlow 2. This is a key technique for optimizing machine learning models.
Automatic differentiation allows us to estimate partial derivatives of functions numerically using the chain rule. This process is essential for gradient descent and backpropagation.
Code: https://www.tensorflow.org/beta/tutor...
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