A comprehensive dive into Deep Learning using Python! The second book in the Deep Learning with Python series is here and is primed to give you a deeper insight into deep learning and its topics. While the first book established the basics, this book will explore them in greater depth to give you a far better understanding with practical examples and real world applications. Inside you will learn all about: Using scikit/learn to implement regression models Evaluating models and going beyond linear regression DNNs, RNN, CNNs and their attendant functionalities PyTorch and using it for deep learning- tensors, autograd, nn module LSTMs and using them in practical ways and much more! Grab your copy today! BONUS: Purchase the paperback and get the ebook absolutely free via Kindle Matchbook.
- | Author: Travis Booth
- | Publisher: Independently Published
- | Publication Date: Jul 23, 2019
- | Number of Pages: 200 pages
- | Language: English
- | Binding: Paperback
- | ISBN-10: 1082144118
- | ISBN-13: 9781082144110
