Python deep learning : exploring deep learning techniques and neural network architectures with pytorch, keras, and tensorflow

Python deep learning exploring deep learning techniques and neural network architectures with pytorch, keras, and tensorflow

"Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries Key Features Build a strong foundation in neural networks and deep learning with Python libraries Explore advanced deep learning techniques and their applications across computer visi...

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Bibliographic Details
Other Authors: Vasilev, Ivan, author (author), Slater, Daniel, author, Spacagna, Gianmario, author, Roelants, Peter, author, Zocca, Valentino, author
Format: eBook
Language:Inglés
Published: Birmingham : Packt Publishing Ltd 2019.
Edition:Second edition
Subjects:
Python (Computer program language)
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630486206719
Table of Contents:
  • Chapter 1: Machine Learning - an Introduction
  • Chapter 2: Neural Networks
  • Chapter 3: Deep Learning Fundamentals
  • Chapter 4: Computer Vision with Convolutional Networks
  • Chapter 5: Advanced Computer Vision
  • Chapter 6: Generating Images with GANs and VAEs
  • Chapter 7: Recurrent Neural Networks and Language Models
  • Chapter 8: Reinforcement Learning Theory
  • Chapter 9: Deep Reinforcement Learning for Games
  • Chapter 10: Deep Learning in Autonomous Vehicles.

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