Reinforcement Learning and Deep RL Python Theory and Projects - DNN Loss Function in PyTorch

The video tutorial explains the use of activation functions in PyTorch, focusing on the sigmoid function. It demonstrates setting up a simple model and defining a loss function, specifically binary cross entropy loss. The tutorial emphasizes the importance of loss functions as a measure of model performance, showing how to calculate and interpret loss values. It also encourages exploring various loss functions available in PyTorch, preparing for the next topic on gradient descent.

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