Reinforcement Learning and Deep RL Python Theory and Projects - DNN Architecture

The video tutorial introduces the concepts of activation functions and bias terms in neural networks, explaining their roles and importance. It describes how neurons are connected to form a neural network, emphasizing the structure of deep neural networks and the concept of hyperparameters. The tutorial also covers fully connected neural networks and the process of forward computation, setting the stage for implementing these concepts in future videos.

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