Pytorch
James Henry
Unlock the power of PyTorch, one of the most dynamic and flexible deep learning frameworks in the world of artificial intelligence. PyTorch: Building AI Models with Ease and Flexibility is a comprehensive guide that takes readers on a journey from the fundamentals of PyTorch to advanced applications in AI research and industry.
Designed for AI enthusiasts, researchers, and professionals alike, this book offers a hands-on, practical approach to learning PyTorch. Starting with the basics of tensor operations and automatic differentiation, readers will quickly grasp how to build, train, and optimize deep learning models. Each chapter introduces progressively complex concepts, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and advanced techniques like transfer learning, GANs, and reinforcement learning.
Key highlights include:
PyTorch: Building AI Models with Ease and Flexibility is not just about learning a framework—it's about understanding how to apply PyTorch effectively to solve complex problems, innovate in AI research, and take your machine learning projects to the next level. Whether you are a beginner or an experienced AI practitioner, this book is your essential companion in mastering PyTorch and building cutting-edge AI models.
Duration - 3h 35m.
Author - James Henry.
Narrator - Rayan Mitchell.
Published Date - Tuesday, 07 January 2025.
Copyright - © 2025 James Henry ©.
Location:
United States
Description:
Unlock the power of PyTorch, one of the most dynamic and flexible deep learning frameworks in the world of artificial intelligence. PyTorch: Building AI Models with Ease and Flexibility is a comprehensive guide that takes readers on a journey from the fundamentals of PyTorch to advanced applications in AI research and industry. Designed for AI enthusiasts, researchers, and professionals alike, this book offers a hands-on, practical approach to learning PyTorch. Starting with the basics of tensor operations and automatic differentiation, readers will quickly grasp how to build, train, and optimize deep learning models. Each chapter introduces progressively complex concepts, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and advanced techniques like transfer learning, GANs, and reinforcement learning. Key highlights include: PyTorch: Building AI Models with Ease and Flexibility is not just about learning a framework—it's about understanding how to apply PyTorch effectively to solve complex problems, innovate in AI research, and take your machine learning projects to the next level. Whether you are a beginner or an experienced AI practitioner, this book is your essential companion in mastering PyTorch and building cutting-edge AI models. Duration - 3h 35m. Author - James Henry. Narrator - Rayan Mitchell. Published Date - Tuesday, 07 January 2025. Copyright - © 2025 James Henry ©.
Language:
English
Opening Credits
Duración:00:00:10
Introduction to py torch
Duración:00:07:19
Getting started with py torch
Duración:00:11:20
Working with tensors
Duración:00:16:21
Autograd py torch's automatic
Duración:00:13:10
Building neural networks with torch nn
Duración:00:11:09
Training neural networks loss functions
Duración:00:12:22
Advanced model building
Duración:00:15:22
Py torch and computer vision
Duración:00:11:58
Py torch and natural language processing
Duración:00:11:47
Training on large datasets with
Duración:00:12:22
Customizing py torch models
Duración:00:11:38
Deploying py torch models
Duración:00:11:43
Py torch in research
Duración:00:11:31
Py torch in industry
Duración:00:12:12
Optimizing and profiling py torch models
Duración:00:11:51
Py torch ecosystem and tools
Duración:00:10:48
Future directions in py torch
Duración:00:12:29
Conclusion
Duración:00:09:44
Ending Credits
Duración:00:00:12