Grokking Deep Learning by Andrew W Trask
Key Features: Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari game Hands-on Learning Written for readers with high school-level math and intermediate programming skills. Experience with Calculus is helpful but not required.
Andrew Trask is a PhD student at Oxford University, funded by the Oxford-
DeepMind Graduate Scholarship, where he researches Deep Learning
approaches with special emphasis on human language. Previously, Andrew was
a researcher and analytics product manager at Digital Reasoning 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 across government intelligence, finance, and healthcare industries.
| SKU | Unavailable |
| ISBN 13 | 9781617293702 |
| ISBN 10 | 1617293709 |
| Title | Grokking Deep Learning |
| Author | Andrew W Trask |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Manning Publications |
| Year published | 2019-05-22 |
| Number of pages | 336 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |