TensorFlow Deep Learning Projects - 10 real-world projects on computer vision, machine transition, chatbots, and reinforcement learning - Grand Format

Edition en anglais

Luca Massaron

,

Alberto Boschetti

,

Alexey Grigorev

,

Abhishek Thakur

,

Rajalingappaa Shanmugamani

Note moyenne 
TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework... Lire la suite
49,90 € Neuf
Expédié sous 6 à 12 jours
Livré chez vous entre le 15 mai et le 21 mai
En librairie

Résumé

TensorFlow is one of the most popular frameworks used for machine learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models with very high accuracy. This book is your guide to mastering deep learning with TensorFlow with the help of10 real-world projects. TensorFlow Deep Learning Projects starts with setting up the right TensorFlow environment for deep learning.
You'll learn how to train different types of deep learning models using TensorFlow, including Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, and Generative Adversarial Networks. While doing this, you will build end-to-end deep learning solutions to tackle different real-world problems in image processing, recommendation systems, stock prediction, and building chatbots, to name a few.
You will also develop systems that perform machine translation and use reinforcement learning techniques to play games. By the end of this book, you will have mastered all the concepts of deep learning and their implementation with TensorFlow, and will be able to build and train your own deep learning models with TensorFlow confidently.

Caractéristiques

  • Date de parution
    30/03/2018
  • Editeur
  • ISBN
    978-1-78839-806-0
  • EAN
    9781788398060
  • Format
    Grand Format
  • Présentation
    Broché
  • Nb. de pages
    307 pages
  • Poids
    0.553 Kg
  • Dimensions
    19,1 cm × 23,5 cm × 1,7 cm

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