Zefs Guide to Deep Learning - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone) +--- Forum: E-Books (https://softwarez.info/Forum-E-Books) +--- Thread: Zefs Guide to Deep Learning (/Thread-Zefs-Guide-to-Deep-Learning) |
Zefs Guide to Deep Learning - ebooks1001 - 01-08-2024 Free Download Zefs Guide to Deep Learning by Roy Keyes English | November 21, 2022 | ISBN: 8987318206 | 171 pages | MOBI | 9.49 Mb "Zefs Guide to Deep Learning provides a clear, succinct, and direct explanation of the most important topics in ML and Deep Learning. But words only go so far - it's the visuals which illustrate the key concepts of the field where the book and flashcards truly shine!" - Nick Singh, Author of "Ace the Data Science Interview" About Zefs Guide to Deep Learning The first book in the Zefs Guides series will help you learn the basics of deep learning and give you an overview of how everything fits together, with a broad look at the world of deep learning today. In around only 150 pages, Zefs Guide to Deep Learning will give you a strong understanding of The fundamentals of machine learning The core concepts of neural networks The key ideas behind computer vision and convolutional neural networks The tasks and techniques involved in natural language processing and the deep learning approach to NLP, including Transformers Advanced deep learning techniques, including diffusion models, and practical considerations for using deep learning in the real world Zefs Guides approach these topics at a high level, but with enough detail to help you understand how deep neural networks actually work. The goal is to give you a strong conceptual grasp of these techniques. The focus is not on how to do the math behind neural networks or to teach you how to implement deep learning in code, but to help you put all of the pieces together conceptually. Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live Links are Interchangeable - Single Extraction |