雷锋网按：本文作者何之源，原文载于知乎专栏AI Insight，雷锋网获其授权发布。 前言 如何用TensorFlow结合LSTM来做时间序列 ...

Around the Hackaday secret bunker, we’ve been talking quite a bit about machine learning and neural networks. There’s been a lot of renewed interest in the topic recently because of the success of ...

Machine learning couldn’t be hotter, with several heavy hitters offering platforms aimed at seasoned data scientists and newcomers interested in working with neural networks. Among the more popular ...

At version r1.5, Google's open source machine learning and neural network library is more capable, more mature, and easier to learn and use If you looked at TensorFlow as a deep learning framework ...

If you want to explore machine learning, you can now write applications that train and deploy TensorFlow in your browser using JavaScript. We know what you are thinking. That has to be slow.

It's possible to create neural networks from raw code. But there are many code libraries you can use to speed up the process. These libraries include Microsoft CNTK, Google TensorFlow, Theano, PyTorch ...

Developers, electronic enthusiasts and students wishing to know more about machine learning may be interested in a new tutorial published to the Adafruit learning resource this week direct from Lady ...

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TensorFlow has become the most popular tool and framework for machine learning in a short span of time. It enjoys tremendous popularity among ML engineers and developers. According to the Hacker News ...

Google made waves Monday when it made its new artificial intelligence system TensorFlow open source. Google has used TensorFlow for the past year for a variety of applications. For example, Google ...