Автор: Edward Raff
Название: Inside Deep Learning: Math, Algorithms, Models
Издательство: Manning Publications
ISBN: 9781617298639
Язык: English
Год: 2022
Формат: PDF
Размер: 78 mb
Кол-во страниц: 600

Описание: Journey through the theory and practice of modern deep learning, and apply innovative techniques to solve everyday data problems.

Inside Deep Learning illuminates the inner workings of deep learning algorithms in a way that even machine learning novices can understand. You’ll explore deep learning concepts and tools through plain language explanations, annotated code, and dozens of instantly useful PyTorch examples. Each type of neural network is clearly presented without complex math, and every solution in this book can run using readily available GPU hardware!

In Inside Deep Learning, you will learn how to:

• Implement deep learning with PyTorch
• Select the right deep learning components
• Train and evaluate a deep learning model
• Fine tune deep learning models to maximize performance
• Understand deep learning terminology
• Adapt existing PyTorch code to solve new problems

Inside_Deep_Learning_Math_Algorithms_Models.pdf
Inside_Deep_Learning_Math_Algorithms_Models.pdf