Machine Learning with TensorFlow - Grand Format

Edition en anglais

Note moyenne 
TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping... Lire la suite
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Résumé

TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine. Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. You'll learn the basics by working with classic prediction, classification, and clustering algorithms.
Then, you'll move on to the money chapters : exploration of deep-learning concepts like autoencoders, recurrent neural networks, and reinforcement learning. Digest this book and you will be ready to use TensorFlow for machine-learning and deep-learning applications of your own. What's Inside : Matching your tasks to the right machine-learning and deep-learning approaches ; Visualizing algorithms with TensorBoard ; Understanding and using neural networks.

Caractéristiques

  • Date de parution
    01/03/2018
  • Editeur
  • ISBN
    978-1-61729-387-0
  • EAN
    9781617293870
  • Format
    Grand Format
  • Présentation
    Broché
  • Nb. de pages
    251 pages
  • Poids
    0.468 Kg
  • Dimensions
    18,7 cm × 23,3 cm × 2,0 cm

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À propos de l'auteur

Biographie de Nishant Shukla

Nishant Shukla is a computer vision researcher focused on applying machine-learning techniques in robotics. Senior technical editor : Kenneth Fricklas.

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