Who this book is for

This book caters to beginner-level and intermediate-level machine learning practitioners and data scientists who have just started their journey with neural networks and are looking for a resource that guides them through the various architectures of neural networks by helping them to build multiple architectures. The case studies of the book are ordered by the complexity of problem, with the simplest being first. A basic understanding of Python programming and familiarity with basic machine learning is all you need to get started with this book.