62,95 €*
Versandkostenfrei per Post / DHL
Lieferzeit 1-2 Wochen
It's nearly impossible to build a competent Go-playing machine using conventional programming techniques, let alone have it win. By applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics of the game.
Deep Learning and the Game of Go opens up the world of deep learning and AI by teaching readers to build their own Go-playing machine.
Key Features
· Getting started with neural networks
· Building your Go AI
· Improving how your Go-bot plays and reacts
Audience
No deep learning experience required. All you need is high school level math and basic Python skills. This book even teaches you how to play Go!
Author Bio
Max Pumperla is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company [...]. He is the cofounder of the Deep Learning platform [...].
Kevin Ferguson has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and
Meebo. Together, Max and Kevin are co-authors of betago, one of very few open source Go bots, developed in Python.
It's nearly impossible to build a competent Go-playing machine using conventional programming techniques, let alone have it win. By applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics of the game.
Deep Learning and the Game of Go opens up the world of deep learning and AI by teaching readers to build their own Go-playing machine.
Key Features
· Getting started with neural networks
· Building your Go AI
· Improving how your Go-bot plays and reacts
Audience
No deep learning experience required. All you need is high school level math and basic Python skills. This book even teaches you how to play Go!
Author Bio
Max Pumperla is a Data Scientist and Engineer specializing in Deep Learning at the artificial intelligence company [...]. He is the cofounder of the Deep Learning platform [...].
Kevin Ferguson has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and
Meebo. Together, Max and Kevin are co-authors of betago, one of very few open source Go bots, developed in Python.
Kevin Ferguson has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and Meebo.
| Erscheinungsjahr: | 2019 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781617295324 |
| ISBN-10: | 1617295329 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Pumperla, Max
Ferguson, Kevin |
| Hersteller: | Manning Publications |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 233 x 184 x 22 mm |
| Von/Mit: | Max Pumperla (u. a.) |
| Erscheinungsdatum: | 13.06.2019 |
| Gewicht: | 0,646 kg |
Kevin Ferguson has 18 years of experience in distributed systems and data science. He is a data scientist at Honor, and has experience at companies such as Google and Meebo.
| Erscheinungsjahr: | 2019 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9781617295324 |
| ISBN-10: | 1617295329 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Pumperla, Max
Ferguson, Kevin |
| Hersteller: | Manning Publications |
| Verantwortliche Person für die EU: | preigu, Ansas Meyer, Lengericher Landstr. 19, D-49078 Osnabrück, mail@preigu.de |
| Maße: | 233 x 184 x 22 mm |
| Von/Mit: | Max Pumperla (u. a.) |
| Erscheinungsdatum: | 13.06.2019 |
| Gewicht: | 0,646 kg |
Ähnliche Produkte
Lieferzeit 2-3 Wochen
Lieferzeit 1-2 Wochen
Aktuell nicht verfügbar
Lieferzeit 1-2 Wochen
Lieferzeit 1-2 Wochen
