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Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
Sudharsan Ravichandiran
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Hands-On Meta Learning with Python: Meta learning using one-shot learning, MAML, Reptile, and Meta-SGD with TensorFlow
Sudharsan Ravichandiran
This hands-on guide for meta learning starts with exploring the principles, algorithms, and implementations of Meta learning with Tensorflow, Keras, and Python. Once it sets the foundation of "learning to learn", the book will help you implement your meta learning algorithms from scratch.
226 pages
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 28. desember 2018 |
| ISBN13 | 9781789534207 |
| Utgivere | Packt Publishing Limited |
| Antall sider | 226 |
| Mål | 234 × 191 × 11 mm · 394 g |
| Språk | Engelsk |
![Cover for Sudharsan Ravichandiran · Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition (Pocketbok) [2 Revised edition] (2020)](https://imusic.b-cdn.net/images/item/original/686/9781839210686.jpg?sudharsan-ravichandiran-2020-deep-reinforcement-learning-with-python-master-classic-rl-deep-rl-distributional-rl-inverse-rl-and-more-with-openai-gym-and-tensorflow-2nd-edition-pocketbok&class=scaled&v=1614871964)
