Reinforcement Learning and Deep RL Python Theory and Projects - DNN ForwardStep Implementation

The video tutorial explains how to build a neural network with three computational layers, including an output layer. It covers the initialization of weights for each layer, the implementation of a forward step function, and the process of matrix multiplication for layer outputs and inputs. The tutorial concludes with an introduction to activation functions and their significance in neural networks.

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