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What is the Vanishing Gradient problem, and why is ReLU the most popular activation function in Deep Learning? 🧠 If you want your Neural Network to learn, you use Backpropagation to send error signals backwards. But old activation functions (like Sigmoid or Tanh) "squash" these numbers. By the time the signal reaches the first layers of a ...
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