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Introduction to Deep Learning
Introduction to Deep Learning

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This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence l…
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  • Autorius: Eugene Charniak
  • Leidėjas:
  • Metai: 20190221
  • ISBN-10: 0262039516
  • ISBN-13: 9780262039512
  • Formatas: 18.7 x 23.7 x 2.2 cm, kieti viršeliai
  • Kalba: Anglų

Introduction to Deep Learning Kieti viršeliai - 20190221

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This concise, project-driven guide to deep learning takes readers through a series of program-writing tasks that introduce them to the use of deep learning in such areas of artificial intelligence as computer vision, natural-language processing, and reinforcement learning. The author, a longtime artificial intelligence researcher specializing in natural-language processing, covers feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and other fundamental concepts and techniques. Students and practitioners learn the basics of deep learning by working through programs in Tensorflow, an open-source machine learning framework. "I find I learn computer science material best by sitting down and writing programs,¿ the author writes, and the book reflects this approach.

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  • Išsiųsime per 14–18 d. d.

Formatai:

44,49 € Nauja knyga
kieti viršeliai

  • Autorius: Eugene Charniak
  • Leidėjas: The MIT Press
  • Metai: 20190221
  • ISBN-10: 0262039516
  • ISBN-13: 9780262039512
  • Formatas: 18.7 x 23.7 x 2.2 cm, kieti viršeliai
  • Kalba: Anglų

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