Chapter 1: Introduction to Deep Learning and PyTorch
Abstract : Deep Learning is a subfield of Machine Learning inspired by the structure and function of the human brain, utilizing artificial neural networks to learn from data. These networks consist of interconnected "neurons" organized in layers, including an input layer, one or more hidden layers, and an output layer. Deep learning excels at tasks involving complex pattern recognition in large datasets, such as image classification, natural language processing, and speech recognition. PyTorch is an open-source machine learning framework built on the Torch library and Python. It has become a popular choice for deep learning research and development due to its: Pythonic Interface: PyTorch's API is designed to be intuitive and integrate seamlessly with the Python ecosystem, making it accessible for developers familiar with Python. Dynamic Computation Graph: Unlike some other frameworks, PyTorch uses a dynamic computation graph, allow...