Struggling with deep neural networks? Let's break down the vanishing gradient problem in just 45 seconds! 💡 Learn why your network stops learning and discover quick solutions to keep those gradients healthy and your network strong.
Understand the vanishing gradient problem
Discover the role of activation functions like sigmoid
Learn quick fixes: ReLU, Batch Normalization, and Skip Connections
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