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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 2
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The video tutorial explains the structure and coding of a neural network, focusing on the layers, nodes, and connections. It details the initialization of weights and the implementation of feedforward propagation, including the use of activation functions like sigmoid. The tutorial provides a step-by-step guide to understanding and coding these components, preparing for the next step of backpropagation.
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