Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Why DNNs in Machine Learn

The video tutorial covers the installation of Pytorch and related packages, providing an introduction to deep neural networks and their architecture. It explains key terminology such as neurons, layers, and activation functions. The importance of deep neural networks in supervised learning is discussed, highlighting their role as classifiers and regressors. The tutorial also compares deep neural networks with other well-studied models like support vector machines and random forests, setting the stage for further exploration of their benefits in subsequent videos.

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