AI, Machine Learning, Neural Networks, Image Recognition, Image Processing.
this error information back through the network. This is like the network looking back at its work and seeing where it went wrong. As this error information travels back, the network adjusts its weights and biases. This adjustment is crucial as it helps the network learn from its mistakes. The next