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- Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
E-book details
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
Ashish Ranjan Jha, Dr. Gopinath Pillai
Ebook
Deep learning is driving the AI revolution, and PyTorch is making it easier than ever before for anyone to build deep learning applications. This PyTorch book will help you uncover expert techniques to get the most out of your data and build complex neural network models.
The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai.
By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.
The book starts with a quick overview of PyTorch and explores using convolutional neural network (CNN) architectures for image classification. You'll then work with recurrent neural network (RNN) architectures and transformers for sentiment analysis. As you advance, you'll apply deep learning across different domains, such as music, text, and image generation using generative models and explore the world of generative adversarial networks (GANs). You'll not only build and train your own deep reinforcement learning models in PyTorch but also deploy PyTorch models to production using expert tips and techniques. Finally, you'll get to grips with training large models efficiently in a distributed manner, searching neural architectures effectively with AutoML, and rapidly prototyping models using PyTorch and fast.ai.
By the end of this PyTorch book, you'll be able to perform complex deep learning tasks using PyTorch to build smart artificial intelligence models.
- 1. Overview of Deep Learning Using PyTorch
- 2. Combining CNNs and LSTMs
- 3. Deep CNN Architectures
- 4. Deep Recurrent Model Architectures
- 5. Hybrid Advanced Models
- 6. Music and Text Generation with PyTorch
- 7. Neural Style Transfer
- 8. Deep Convolutional GANs
- 9. Deep Reinforcement Learning
- 10. Operationalizing Pytorch Models into Production
- 11. Distributed Training
- 12. PyTorch and AutoML
- 13. PyTorch and Explainable AI
- 14. Rapid Prototyping with PyTorch
- Title: Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
- Author: Ashish Ranjan Jha, Dr. Gopinath Pillai
- Original title: Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
- ISBN: 9781789616408, 9781789616408
- Date of issue: 2021-02-12
- Format: Ebook
- Item ID: e_2a2v
- Publisher: Packt Publishing