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
Duration:00:00:10
Introduction to py torch
Duration:00:07:19
Getting started with py torch
Duration:00:11:20
Working with tensors
Duration:00:16:21
Autograd py torch's automatic
Duration:00:13:10
Building neural networks with torch nn
Duration:00:11:09
Training neural networks loss functions
Duration:00:12:22
Advanced model building
Duration:00:15:22
Py torch and computer vision
Duration:00:11:58
Py torch and natural language processing
Duration:00:11:47
Training on large datasets with
Duration:00:12:22
Customizing py torch models
Duration:00:11:38
Deploying py torch models
Duration:00:11:43
Py torch in research
Duration:00:11:31
Py torch in industry
Duration:00:12:12
Optimizing and profiling py torch models
Duration:00:11:51
Py torch ecosystem and tools
Duration:00:10:48
Future directions in py torch
Duration:00:12:29
Conclusion
Duration:00:09:44
Ending Credits
Duration:00:00:12