Why is PyTorch good for backpropagation?
PyTorch features an automatic differentiation engine (Autograd) that tracks operations and calculates gradients automatically.
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More FAQs in Understanding Backpropagation and Gradient Descent Simply
A hyperparameter that controls how much we adjust the model weights in response to the estimated error each time.
The algorithm might overshoot the minimum error point and fail to converge, leading to unstable training.
When gradients become extremely small as they travel backwards, preventing early layers from updating their weights and learning.
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