Deep Learning. Easy Project Development in Python

The explosive interest in neural networks and artificial intelligence has already affected all areas of life, and understanding the principles of deep learning is essential for every software developer to solve practical tasks. This practical book serves as an introductory course for anyone involved in data processing, as well as for software developers. You will start with the basics of deep learning and quickly move on to more complex architectures, creating projects from scratch. You will learn to use multilayer, convolutional, and recurrent neural networks. Only by understanding the principles of their operation (from 'mathematics' to concepts) will you make your projects successful. In this book: - Clear diagrams to help understand neural networks and examples of working code. - Methods for implementing multilayer networks from scratch based on a simple object-oriented structure. - Examples and accessible explanations of convolutional and recurrent neural networks. - Implementation of neural network concepts using the popular framework PyTorch.