Deep Learning and the Game of Go
Overview & Synopsis
The ancient strategy game of Go (Weiqi) is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot!
Indexed from repository: FreeComputerBooks.com
(
freecomputerbooks.com)
Document Information
| Document Title | Deep Learning and the Game of Go |
|---|---|
| Author / Organization | Max Pumperla and Kevin Ferguson |
| Subject & Discipline | Deep Learning and Neural Networks, Python Programming, Machine Learning, Artificial Intelligence, Data Science |
| Categories | Deep Learning and Neural Networks |
| Publication Year | 2019 |
| ISBN | 1617295329 |
| Resource Verification | External Reading Page / Repository |
| Alternative Mirrors & Links | |
| Original Host Website |
FreeComputerBooks.com
(freecomputerbooks.com)
|
| File Format | application/pdf (Portable Document Format) |
| Language | ENGLISH |
| Catalog ID | DOC-93352 |
| Original Source Link | Visit Source Page on freecomputerbooks.com » |
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