Deep Learning CNN Convolutional Neural Networks with Python - DNN Architecture

The video tutorial introduces the concept of neurons in neural networks, explaining how they process inputs through weighted sums and activation functions. It covers the architecture of neural networks, including input, hidden, and output layers, and discusses the importance of activation functions in creating complex networks. The tutorial also explains the role of bias terms and the computation of weights in hidden layers. Finally, it defines deep neural networks and outlines the parameters involved in their construction.

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