An Introduction to Deep Learning

An Introduction to Deep Learning

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An Introduction to Deep Learning is the complete guide to writing deep learning programs with the widely-used Python language and TensorFlow programming environment.

Building on his pioneering undergraduate and graduate courses, Brown University professor Eugene Charniak covers every key concept and technique, including feed-forward neural nets, convolutional neural nets, word embeddings, recurrent neural nets, sequence-to-sequence learning, deep reinforcement learning, unsupervised models, and more. Each chapter contains a full programming project and a set of exercises carefully crafted to help readers build mastery, as well as additional readings and references for even deeper insight.
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Product details

  • Paperback | 220 pages
  • 178 x 232 x 18mm | 411g
  • Addison-Wesley Educational Publishers Inc
  • New Jersey, United States
  • English
  • 0135116538
  • 9780135116531