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Evolutionary Deep Learning

Micheal Lanham
2023, Pocket, Engelsk
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Discover one-of-a-kind AI strategies never before seen outside of academic papers! Learn how the principles of evolutionary computation overcome deep learning’s common pitfalls and deliver adaptable model upgrades without constant manual adjustment.

Summary

In Evolutionary Deep Learning you will learn how to:

  • Solve complex design and analysis problems with evolutionary computation
  • Tune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimization
  • Use unsupervised learning with a deep learning autoencoder to regenerate sample data
  • Understand the basics of reinforcement learning and the Q-Learning equation
  • Apply Q-Learning to deep learning to produce deep reinforcement learning
  • Optimize the loss function and network architecture of unsupervised autoencoders
  • Make an evolutionary agent that can play an OpenAI Gym game

Evol

Produktegenskaper

  • Forfatter

    Micheal Lanham

  • Bidragsyter

    Lanham, Micheal

  • Forlag/Utgiver

    SD Books

  • Format

    Pocket

  • Språk

    Engelsk

  • Utgivelsesår

    2023

  • Antall sider

    350

  • Varenummer

    9781617299520

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