Deep Learning CNN Convolutional Neural Networks with Python - Gradient Descent in CNNs Activity

This video tutorial guides students through a programming activity focused on enhancing a model by doubling its sequence. It covers the use of kernels and masks, explains the concept of units and target classes, and provides instructions for applying gradient descent to optimize the model. The project encourages students to extend existing code and experiment with multiple iterations to achieve desired results.

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