Grokking Deep Learning
Andrew Trask is a PhD student at Oxford University who is supported by the Oxford-DeepMind Graduate Scholarship. He studies Deep Learning approaches with a focus on human language. Andrew previously worked at Digital Reasoning as a researcher and analytics product manager, where he trained the world's largest artificial neural network with over 160 billion parameters and helped guide the analytics roadmap for the Synthesys cognitive computing platform, which tackles some of the most complex analysis tasks in the government intelligence, finance, and healthcare industries.
Deep learning, an artificial intelligence branch, trains computers to learn by utilizing neural networks, a technology inspired by the human brain. Deep learning enables fascinating current breakthroughs like as online text translation, self-driving cars, personalized product suggestions, and virtual voice assistants.
Among the best books on deep learning, Grokking Deep Learning shows you how to create deep learning neural networks from the ground up! Andrew Trask, a seasoned deep learning expert, gives you the science behind the scenes in his engaging way, so you can understand every element of training neural networks for yourself. You'll train your own neural networks to perceive and interpret images, translate text into multiple languages, and even write like Shakespeare using only Python and its math-supporting module, NumPy. When you're through, you'll be completely prepared to understand deep learning frameworks.
What's on the inside?
- Deep learning and its science
- Create and train your own neural networks
- Concepts of privacy, including federated learning
- Tips for Continuing Your Deep Learning Journey
Author: Andrew Trask
Link to buy: https://www.amazon.com/dp/1617293709
Ratings: 4.4 out of 5 stars (from 130 reviews)
Best Sellers Rank: #106,521 in Books
#25 in Computer Algorithms
#35 in Computer Neural Networks
#53 in Programming Algorithms
