Learning TensorFlow: A Guide to Building Deep Learning Systems
| Author | : | |
| Rating | : | 4.58 (889 Votes) |
| Asin | : | 1491978511 |
| Format Type | : | paperback |
| Number of Pages | : | 242 Pages |
| Publish Date | : | 2016-10-23 |
| Language | : | English |
DESCRIPTION:
TensorFlow is currently the leading open-source software for deep learning, used by a rapidly growing number of practitioners working on computer vision, Natural Language Processing (NLP), speech recognition, and general predictive analytics. This book is an end-to-end guide to TensorFlow designed for data scientists, engineers, students and researchers.With this book you will learn how to:Get up and running with TensorFlow, rapidly and painlesslyBuild and train popular deep learning models for computer vision and NLPApply your advanced understanding of the TensorFlow framework to build and adapt models for your specific needsTrain models at scale, and deploy TensorFlow in a production setting
Tom Hope is an applied machine learning researcher and data scientist with extensive background in academia and industry.He has background as a senior data scientist in large international corporation settings, leading data science and deep learning R&D across multiple domains including web mining, text analytics, computer vision,sales and marketing, IoT, financial forecasting and large-scal
Previously he was at a successful e-commerce startup in its early days, leading data science R&D. He has also served as a data science consultant for major international companies and startups. About the AuthorTom Hope is an applied machine learning researcher and data scientist with extensive background in academia and industry.He has background as a senior data scientist in large international corporation settings, leading data science and deep learning R&D across multiple domains including web mining, text analytics, computer vision,sales and marketing, IoT, financial forecasting and large-scale