Vanishing Gradient Problem Explained|Deep Learning|UGCNET 2026|GATE 2026
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YouTubeSujit Das Academy
Vanishing Gradient Problem Explained|Deep Learning|UGCNET 2026|GATE 2026
In this short lecture, we explain the Vanishing Gradient Problem, one of the most critical challenges in training deep neural networks. The video focuses on why popular activation functions like Sigmoid and Tanh cause gradients to vanish during backpropagation, especially in deep hidden layers. We discuss the mathematical intuition, saturation ...
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