Deep Learning CNN Convolutional Neural Networks with Python - Training DNN Animation

The video introduces backpropagation, a key process in training neural networks, using a binary classification example. It explains the forward and backward pass, where data is fed through the network to compute loss, and parameters are updated to minimize this loss. The video also touches on stopping criteria and technical issues, such as learning rates and network architecture. Future videos will delve deeper into these technical aspects.

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