Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy Backw

The video tutorial covers the computation of derivatives in gradient descent, focusing on vectorized code for efficiency. It explains the backward pass and gradient computation, followed by a practical implementation using a toy example. The tutorial concludes with a brief introduction to TensorFlow, highlighting its efficiency in deep learning tasks.

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