Learning TensorFlow: A Guide to Building Deep Learning Systems

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. 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

He has also served as a data science consultant for major international companies and startups. Previously he was at a successful e-commerce startup in its early days, leading data science R&D. His research in computer science, data mining and statistics revolves around machine learning, deep learning, NLP, weak supervision and time-series.. Tom Hope is an applied machine learning researcher and data scientist with extensive backgrou

Previously he was at a successful e-commerce startup in its early days, leading data science R&D. 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 manufacturing. His research in computer science, data mining and statistics r