Fandango Mastering TensorFlow 1.x

Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
1. Auflage 2018
ISBN: 978-1-78829-700-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 474 Seiten

No detailed description available for "Mastering TensorFlow 1.x".

Autoren/Hrsg.

Fandango, Armando

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Table of Contents - Tensorflow 101
- High-Level Libraries for TensorFlow
- Keras 101
- Classical Machine Learning with TensorFlow
- Neural Networks and MLP with TensorFlow and Keras
- RNN with TensorFlow and Keras
- RNN for Time Series Data with TensorFlow and Keras
- RNN for Text Data with TensorFlow and Keras
- CNN with TensorFlow and Keras
- Autoencoder with TensorFlow and Keras
- TensorFlow Models in Production with TF Serving
- Transfer Learning and Pre-Trained Models
- Deep Reinforcement Learning
- Generative Adversarial Networks
- Distributed Models with TensorFlow Clusters
- TensorFlow Models on Mobile and Embedded Platforms
- TensorFlow and Keras in R
- Debugging TensorFlow Models
- TensorFlow Processing Units