Mastering PyTorch
Discover the flexibility of the PyTorch library for implementing new algorithms in a scalable and efficient way with this expert guide. This book will show you how to process data with deep learning methodologies using PyTorch 1.x and cover advanced topics such as GANs, Deep RL, and NLP using advanced deep learning techniques.
Offered by
Difficulty Level
Intermediate
Completion Time
15h
Language
English
About Book
Who Is This Book For?
This book is for data scientists, machine learning researchers, and deep learning practitioners looking to implement advanced deep learning paradigms using PyTorch 1.x. Working knowledge of deep learning with Python programming is required.
Mastering PyTorch
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 15h total length
Overview of Deep Learning Using PyTorch
Combining CNNs and LSTMs
Deep CNN Architectures
Deep Recurrent Model Architectures
Hybrid Advanced Models
Music and Text Generation with PyTorch
Neural Style Transfer
Deep Convolutional GANs
Deep Reinforcement Learning
Operationalizing Pytorch Models into Production
Distributed Training
PyTorch and AutoML
PyTorch and Explainable AI
Rapid Prototyping with PyTorch
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