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Hands-On Meta Learning with Python

You're reading from  Hands-On Meta Learning with Python

Product type Book
Published in Dec 2018
Publisher Packt
ISBN-13 9781789534207
Pages 226 pages
Edition 1st Edition
Languages
Author (1):
Sudharsan Ravichandiran Sudharsan Ravichandiran
Profile icon Sudharsan Ravichandiran

Table of Contents (17) Chapters

Title Page
Dedication
About Packt
Contributors
Preface
1. Introduction to Meta Learning 2. Face and Audio Recognition Using Siamese Networks 3. Prototypical Networks and Their Variants 4. Relation and Matching Networks Using TensorFlow 5. Memory-Augmented Neural Networks 6. MAML and Its Variants 7. Meta-SGD and Reptile 8. Gradient Agreement as an Optimization Objective 9. Recent Advancements and Next Steps 1. Assessments 2. Other Books You May Enjoy Index

Appendix 2. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

Hands-On Transfer Learning with Python Dipanjan Sarkar

ISBN: 9781788831307

  • Set up your own DL environment with graphics processing unit (GPU) and Cloud support
  • Delve into transfer learning principles with ML and DL models
  • Explore various DL architectures, including CNN, LSTM, and capsule networks
  • Learn about data and network representation and loss functions
  • Get to grips with models and strategies in transfer learning
  • Walk through potential challenges in building complex transfer learning models from scratch
  • Explore real-world research problems related to computer vision and audio analysis
  • Understand how transfer learning can be leveraged in NLP

Deep Reinforcement Learning Hands-On Maxim Lapan

ISBN: 9781788834247

  • Understand the DL context of RL and implement complex DL models
  • Learn the foundation of RL: Markov decision processes
  • Evaluate RL methods including Cross-entropy, DQN, Actor-Critic, TRPO, PPO, DDPG, D4PG and others
  • Discover how to deal with discrete and continuous action spaces in various environments
  • Defeat Atari arcade games using the value iteration method
  • Create your own OpenAI Gym environment to train a stock trading agent
  • Teach your agent to play Connect4 using AlphaGo Zero
  • Explore the very latest deep RL research on topics including AI-driven chatbots
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