Pro Deep Learning with TensorFlow 2. 0 : A Mathematical Approach to Advanced Artificial Intelligence in Python

Pro Deep Learning with TensorFlow 2. 0 A Mathematical Approach to Advanced Artificial Intelligence in Python

This book builds upon the foundations established in its first edition, with updated chapters and the latest code implementations to bring it up to date with Tensorflow 2.0. Pro Deep Learning with TensorFlow 2.0 begins with the mathematical and core technical foundations of deep learning. Next, you...

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Bibliographic Details
Other Authors: Pattanayak, Santanu, author (author)
Format: eBook
Language:Inglés
Published: New York, U.S.A. : Apress Media LLC [2023]
Edition:Second edition
Subjects:
TensorFlow (Electronic resource)
Machine learning.
Artificial intelligence.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009711808106719
Table of Contents:
  • Chapter 1: Mathematical Foundations
  • Chapter 2: Introduction to Deep learning Concepts and Tensorflow 2.0
  • Chapter 3: Convolutional Neural networks
  • Chapter 4: Natural Language Processing
  • Chapter 5: Unsupervised Learning with Restricted Boltzmann Machines and Auto-encoders
  • Chapter 6: Advanced Neural Networks.

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