Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Batch Gradient Descent

The video tutorial explains the implementation of batch gradient descent in neural networks, contrasting it with stochastic gradient descent. It details the necessary code modifications, focusing on loss calculation and updates. The tutorial also discusses the computational resources required for batch processing and highlights the efficiency of vectorized code. Finally, it introduces the concept of mini-batch gradient descent, setting the stage for the next video.

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