Mastering TensorFlow 2.x: Implement Powerful Neural Nets across Structured, Unstructured datasets and Time Series Data
RajdeepThis book is designed for machine learning engineers, NLP engineers and deep learning practitioners who want to utilize the performance of TensorFlow in their ML and AI projects. Readers are expected to have some familiarity with Tensorflow and the basics of machine learning would be helpful.
Table of Contents
1. Getting started with TensorFlow 2.x
2. Machine Learning with TensorFlow 2.x
3. Keras based APIs
4. Convolutional Neural Networks in Tensorflow
5. Text Processing with TensorFlow 2.x
6. Time Series Forecasting with TensorFlow 2.x
7. Distributed Training and DataInput pipelines
8. Reinforcement Learning
9. Model Optimization
10. Generative Adversarial Networks
Categorie:
Anno:
2022
Casa editrice:
BPB Publications
Lingua:
english
Pagine:
421
ISBN 10:
9391392229
ISBN 13:
9789391392222
File:
PDF, 8.11 MB
IPFS:
,
english, 2022