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

This video tutorial covers the implementation of mini batch gradient descent, a hybrid of stochastic and batch gradient descent. It explains the importance of batch size and demonstrates the coding process, including debugging and optimizing the code for better performance. The tutorial also discusses the challenges of parameter tuning in deep neural networks and the benefits of using frameworks like Torch for efficient and bug-free coding.

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