دانلود کتاب یادگیری عمیق با R، ویرایش سوم، از اصول اولیه تا هوش مصنوعی مولد عمیق

This book is written for people with some R programming experience who want to get started with machine learning and deep learning. But this book can also be valuable to many different types of readers:
-If you’re a data scientist familiar with machine learning, this book will provide you with a solid, practical introduction to deep learning, the fastest-growing and most significant subfield of machine learning.
-If you’re a deep learning researcher or practitioner looking to get started with the Keras framework, you’ll find this book an ideal Keras crash course.
-If you’re a graduate student studying deep learning in a formal setting, you’ll find this book to be a practical complement to your education, helping you build intuition around the behavior of deep neural networks and familiarizing you with key best practices.
-Even technically minded people who don’t code regularly will find this book useful as an introduction to both basic and advanced deep learning concepts.
To understand the code examples, you’ll need a reasonable level of R proficiency. You don’t need previous experience with machine learning or deep learning: this book covers, from scratch, all the necessary basics. You don’t need an advanced mathematics background, either; high-schoollevel mathematics should suffice to follow along.