Evolutionary Deep Learning av Micheal Lanham

495,-

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<B>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.</B><BR><BR>Summary<BR><BR> In <i>Evolutionary Deep Learning</i> you will learn how to:<BR><BR><ul><li>Solve complex design and analysis problems with evolutionary computation</li><li>Tune deep learning hyperparameters with evolutionary computation (EC), genetic algorithms, and particle swarm optimization</li><li>Use unsupervised learning with a deep learning autoencoder to regenerate sample data</li><li>Understand the basics of reinforcement learning and the Q-Learning equation</li><li>Apply Q-Learning to deep learning to produce deep reinforcement learning</li><li>Optimize the loss function and network architecture of unsupervised autoencoders</li><li>Make an evolutionary agent that can play an OpenAI Gym game</li></ul><BR><i>Evol