Develop an AI system to solve a real-world problem : Building Artificial Neural Networks

This video tutorial explains how to build artificial neural networks, highlighting their ability to perform classification and regression tasks. It discusses the data requirements, structure, and mathematical tools used in neural networks, such as calculus and optimization techniques. The tutorial provides a practical example using the PyTorch library to build, train, and evaluate a neural network on book sales data. It concludes with a brief introduction to unsupervised learning.

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