Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Implementation Stocha

This video tutorial covers the implementation of a training function for stochastic gradient descent in neural networks. It begins with an introduction to the concept and setup, followed by defining the loss function. The main focus is on implementing the training function, calculating and updating gradients, and handling errors. The video also discusses technical details of stochastic gradient descent and concludes with future steps for neural network training.

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