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