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Chapter 1111. Details regarding installation instructions and dependencies can be obtainedfrom https://github.com/openai/gym.12. https://arxiv.org/pdf/1602.01783.pdfhttp://ufal.mff.cuni.cz/~straka/courses/npfl114/2016/suttonbookdraft2016sep.pdfhttp://karpathy.github.io/2016/05/31/rl/13. Xavier Glorot and Yoshua Bengio, Understanding the difficulty of trainingdeep feedforward neural networks. Proceedings of the Thirteenth InternationalConference on Artificial Intelligence and Statistics, 2010, http://proceedings. mlr.press/v9/glorot10a/glorot10a.pdf.14. A good read on why RL is still hard to crack: https://www.alexirpan.com/2018/02/14/rl-hard.html.[ 437 ]
- Page 422 and 423: [ 387 ]Chapter 10Colour mapping usi
- Page 424 and 425: Chapter 10# Calculating Neighbourho
- Page 426 and 427: We will also need to normalize the
- Page 428 and 429: Chapter 10ρρ(vv oo |h oo ) = σσ
- Page 430 and 431: # Generate the sample probabilityde
- Page 432 and 433: Chapter 10And the reconstructed ima
- Page 434 and 435: Chapter 10inpX = rbm.rbm_output(inp
- Page 436 and 437: Chapter 10(60000, 28, 28) (60000,)(
- Page 438 and 439: Chapter 10Figure 11: Summary of the
- Page 440 and 441: Chapter 10This chapter, along with
- Page 442 and 443: Reinforcement LearningThis chapter
- Page 444 and 445: Chapter 11And unlike unsupervised l
- Page 446 and 447: Chapter 11Normally, the value is de
- Page 448 and 449: Chapter 11• The next question tha
- Page 450 and 451: Chapter 11This neural network takes
- Page 452 and 453: Chapter 11The MuJoCo environment re
- Page 454 and 455: Chapter 11We will first import the
- Page 456 and 457: Chapter 11The αα is the learning
- Page 458 and 459: Chapter 11We set up the global valu
- Page 460 and 461: Chapter 11else:return np.argmax(sel
- Page 462 and 463: Chapter 11DQN to play a game of Ata
- Page 464 and 465: Chapter 11self.model.add( Conv2D(64
- Page 466 and 467: Chapter 11Here the action A was sel
- Page 468 and 469: Chapter 11Image source: https://arx
- Page 470 and 471: Chapter 11A neural network is used
- Page 474 and 475: TensorFlow and CloudAI algorithms r
- Page 476 and 477: Chapter 12Figure 1: The Microsoft A
- Page 478 and 479: Chapter 12You can learn about all t
- Page 480 and 481: Chapter 12Figure 3: The console of
- Page 482 and 483: Chapter 12Having covered GCP, let's
- Page 484 and 485: Chapter 12After clicking Launch Ins
- Page 486 and 487: Chapter 12• Nvidia Tesla K80• N
- Page 488 and 489: Chapter 12When you log in to Colabo
- Page 490 and 491: Chapter 12Microsoft Azure Notebooks
- Page 492 and 493: Chapter 12In a TFX pipeline, a unit
- Page 494 and 495: Chapter 12TFX uses the open source
- Page 496 and 497: TensorFlow for Mobile andIoT and Te
- Page 498 and 499: Chapter 13Figure 1: Trade-offs for
- Page 500 and 501: Chapter 13Figure 2: TensorFlow Lite
- Page 502 and 503: Chapter 13Then you need to install
- Page 504 and 505: Chapter 13In this section, we will
- Page 506 and 507: [ 471 ]Chapter 13We will discuss Au
- Page 508 and 509: Chapter 13Figure 9: An example of Q
- Page 510 and 511: Chapter 13Traditional machine learn
- Page 512 and 513: Chapter 13keras_model = …keras_mo
- Page 514 and 515: The steps here are similar to a nor
- Page 516 and 517: Chapter 13}model.add(tf.layers.dens
- Page 518 and 519: }Chapter 13const container = {name:
- Page 520 and 521: Chapter 13We have seen how to use T
Chapter 11
11. Details regarding installation instructions and dependencies can be obtained
from https://github.com/openai/gym.
12. https://arxiv.org/pdf/1602.01783.pdf
http://ufal.mff.cuni.cz/~straka/courses/npfl114/2016/suttonbookdraft2016sep.pdf
http://karpathy.github.io/2016/05/31/rl/
13. Xavier Glorot and Yoshua Bengio, Understanding the difficulty of training
deep feedforward neural networks. Proceedings of the Thirteenth International
Conference on Artificial Intelligence and Statistics, 2010, http://
proceedings. mlr.press/v9/glorot10a/glorot10a.pdf.
14. A good read on why RL is still hard to crack: https://www.alexirpan.
com/2018/02/14/rl-hard.html.
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