Learning Deep Learning is a complete guide to deep learning. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others—-including those with no prior machine learning or statistics experience. The book provides concise, well-annotated code examples using TensorFlow with Keras. And with corresponding PyTorch examples provided online, the book covers the two dominating Python libraries used for deep learning in industry and academia.
Technical Resources
Just getting started in AI, accelerated computing, data science, graphics, simulation, or networking? Or ready to take a deeper dive? Explore a wide range of technical resources—from beginner to advanced—that can help you on the journey to solving your most challenging problems.
- Deep Learning
- Accelerated Computing
- Data Science
- graphics and simulation
- Infrastructure
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Computer Vision
Conversational AI and Natural Language Processing
Robotics
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CUDA
OpenACC
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Python/RAPIDS
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IT Systems, Storage & Networking Architecture
Open Networking
Infiniband
Learning Deep Learning
Get started with deep learning with this new book from NVIDIA’s Magnus Ekman.
