Autor: Saif Ahmed
Broj strana: 301
ISBN broj: 9781786462961
Izdavač: PACKT PUBLISHING
Godina izdanja: 2017.
Pregleda (30 dana / ukupno): 40 / 2058
TensorFlow is an open source software library for numerical computation using data flow graphs. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
This book approaches common commercial machine learning problems using Google’s TensorFlow library. It will cover unique features of the library such as Data Flow Graphs, training, visualisation of performance with TensorBoard—all within an example-rich context using problems from multiple industries. The is on introducing new concepts through problems that are coded and solved over the course of each chapter.
Saif Ahmed is an accomplished quantitative analyst and data scientist with fifteen years of industry experience. Saif’s career started in management consulting at Accenture and lead him to quantitative and senior management roles at Goldman Sachs and AIG Investments. Most recently he co-founded and runs a startup focused on applying deep learning towards automating medical imaging.
Saif obtained his Bachelors in Computer Science from Cornell University and is currently pursuing a graduate degree in Data Science at U.C. Berkeley.
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