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Lecture
Neural Networks: Training and Backpropagation
Description
This lecture covers the training process of neural networks, focusing on stochastic gradient descent (SGD) and backpropagation. It explains the importance of proper parameter initialization, the role of normalization layers like Batch Normalization and Layer Normalization, and their impact on network stability and convergence.
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