Deep learning with Python: A gentle introduction

By Valerio Mannucci

This book endeavors to provide a comprehensive introduction to the Python programming language within the context of data science and artificial intelligence applications. Upon completing this book, readers will acquire the proficiency to design and implement intricate deep learning architectures employing contemporary methodologies that have emerged from the AI community. Furthermore, they will be equipped with the capacity to comprehend and engage with scholarly articles pertaining to these dynamic domains.

The book is structured into two distinct sections. The first section elucidates fundamental Python commands, equipping readers with essential skills to perform elementary tasks such as generating graphical representations, manipulating vectors, and managing built-in Python data types. The second section embarks on a journey through various facets of machine learning, commencing with the foundational concept of fully connected networks. It subsequently delves into a wide array of machine learning topics spanning from classification techniques to the intricate realm of geometric deep learning, culminating in contemporary advancements exemplified by Generative Adversarial Networks (GANs).

Each new section commences with a theoretical exposition that serves as an introductory foundation for the subsequent practical implementations. The practical aspect is exemplified using PyTorch, a widely acclaimed deep learning framework. This enables readers to concretely apply their acquired knowledge, ensuring a thorough understanding of the subject matter.

• Format: Paperback
• Language: English
• ISBN: B08LQVW4L9
• ISBN13: 9798551732860
• Release Date: October 2020
• Publisher: Independently Published
• Length: 338 Pages
• Weight: 1.48 lbs.
• Dimensions: 0.7" x 8.0" x 10.0"