IDL Lect4C How Neural Networks Learn: Forward Pass, Loss, Backpropagation & Gradients
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YouTubeProf. Dilip K. Prasad
IDL Lect4C How Neural Networks Learn: Forward Pass, Loss, Backpropagation & Gradients
In this lecture Prof. Dilip K. Prasad explains how neural networks learn through the core training process used in modern deep learning. The lecture introduces the key ideas behind the forward pass, loss function, backpropagation, and gradients. It explains how data moves through a neural network, how the model measures its prediction error ...
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