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Can I read Deep Learning with PyTorch 1.x : Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition on EtoBox?
Deep Learning with PyTorch 1.x : Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition by Laura Mitchell; Sri. Yogesh K.; Vishnu Subramanian is a nonfiction available to read on EtoBox.
What is Deep Learning with PyTorch 1.x : Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition about?
Build and train neural network models with high speed and flexibility in text, vision, and advanced analytics using PyTorch 1.x Key Features Gain a thorough understanding of the PyTorch framework and learn to implement neural network architectures Understand GPU computing to perform heavy deep learning computations using Python Apply cutting-edge natural language processing (NLP) techniques to solve problems with textual data Book Description PyTorch is gaining the attention of deep learning researchers and data science professionals due to its accessibility and efficiency, along with the fact that it's more native to the Python way of development. This book will get you up and running with this cutting-edge deep learning library, effectively guiding you through implementing deep learning concepts. In this second edition, you'll learn the fundamental aspects that power modern deep learning, and explore the new features of the PyTorch 1.x library. You'll understand how to solve real-world problems using CNNs, RNNs, and LSTMs, along with discovering state-of-the-art modern deep learning architectures, such as ResNet, DenseNet, and Inception. You'll then focus on applying
Who reads Deep Learning with PyTorch 1.x : Implement Deep Learning Techniques and Neural Network Architecture Variants Using Python, 2nd Edition?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Laura Mitchell; Sri. Yogesh K.; Vishnu Subramanian
- Publisher
- Packt Publishing, Limited
- Published
- 2019
- Language
- EN
- ISBN
- 9781838550332
- Category
- nonfiction
- Subjects
- Science, Computer Science, Stem
Other editions & translations
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