We know, TensorFlow is more popular deep learning framework, in addition to look at the manual documents, the recommended we look at "Tensorflow depth study", is divided into five aspects: the basics, key modules, algorithms, models, kernel Secret, ecological development. The first two aspects of the progressive approach introduced TensorFlow platform, algorithmic models to explain the terms of relying on TensorFlow depth learning model, the core principle of Secret Communication analyzes the main aspects of C ++ in the kernel, message management mechanism, and finally from the perspective of development of eco-centric explain to TensorFlow a set of open source big data analytics solution.
We should learn how to analyze and improve the performance of deep learning model, by comparison with the standard algorithm, using machine intelligence, learning from the information and decision-making behavior in a particular text. Use TensorFlow depth study, and the research project or business knowledge for school.
"TensorFlow depth study" describes the deep learning programs under the framework of realization of TensorFlow, very simple and obvious, entry-level products.
Chinese PDF, 245 pages, with a bookmark directory, text can be copied; English PDF, 436 pages, with a bookmark directory, text can be copied; supporting source code.
Network disk download: http://106.13.73.98
