Backpropagation Explained Without Complex Math
Backpropagation is one of the most important concepts in deep learning. It is the method that allows a neural network to learn from its mistakes. When a model makes a prediction, it compares that prediction with the correct answer. The difference between the two is called the error.  Backpropagation helps the model understand how much each connection in the network contributed to that...
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