What is TensorFlow?

TensorFlow  TensorFlow was originally developed by the Google Brain Team within Google's Machine Intelligence research organization for machine learning and deep neural networks research, and it is a Python-friendly open source library for numerical computation that makes machine learning faster and easier.
Applied to machine learning

TensorFlow was firstly shared by Andrew Gasparovic, a member of the Applied Machine Intelligence (AMI) team at Google Research, at GDD europe by 2017. You can train a model to judge whether the picture is a dog or a cat by Tensorflow to make picture prediction, which is a difficult thing to achieve by traditional programming methods.
Transplant Difficulty

Tensorflow standard procedure is currently available on large computer systems, servers,  data centers of cloud system and resource-rich intelligent devices.
Our golden programmers: Peiming H.

Our programmers Peiming.H has successfully transplanted the Tensorflow(python 3.6) model into ARM9 core. This was the first successful transplantation of TensorFlow in domestic after numerous tests with 10 hours compliing each time.
High-efficiency opertaion in GWC Products

GWController and GWRouter let your TensorFlow design AI algorithm more efficiently and effectively to collect and analyze real time operation data from EMS & bartery packs, predict SOC&SOH from battery grid, optimise energy control algorithm and increase the lifespan of EMS.
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