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This article shows you what the principle of TensorFlow is. The content is concise and easy to understand. It will definitely make your eyes shine. I hope you can gain something through the detailed introduction of this article.

What is TensorFlow?

TensorFlow is Google's second-generation artificial intelligence learning system based on DistBelief, named after its own operating principle. Tensor means an N-dimensional array, Flow means a computation based on a data flow graph, TensorFlow is the computation of tensors flowing from one end of an image to the other. TensorFlow is a system that transmits complex data structures to artificial intelligence neural networks for analysis and processing.

Having said that, in fact, one sentence can summarize it roughly: TensorFlow is like a mobile phone operating system in the real world, such as IOS, Android. It's a system in AI, and you can do deep learning for machines based on it.

It has to be said that Google took this step very important, just as important as Android. Because AI is likely to be the mainstream of development in the future.

Open source, open source! This is the main reason designers flock to the platform, and unlike Apple, Google offers learning opportunities, which makes it better able to attract talent to the platform.

At this point, I want to explain to you what is called deep learning: machine deep learning is divided into supervised and unsupervised two learning methods. As the name implies, the difference between the two methods lies in whether there is human participation. Deep learning is a new field of machine learning research motivated by the creation of neural networks that mimic the human brain for analytical learning, mimicking the brain's mechanisms for interpreting data such as images, sounds, and text.

Of course, AI deep learning needs to imitate the human brain to deal with complex problems such as vision and language, which puts very high demands on computer performance, so this is also a limitation of this aspect of learning.

For Chinese universities and enterprises, this is simply a pie falling from the sky, because at our current level, most of us have no way to understand and develop a deep learning system that is synchronized with the international, so TensorFlow can reduce a lot of learning difficulty.

In this way, AI all over the world will jointly research and develop on a platform, which can accelerate the development of AI field more quickly. And the contributor to all this is probably Google.

Therefore, TensorFlow's open source should have epoch-making significance in the field of AI.

What is the principle of TensorFlow, and have you learned any knowledge or skills? If you want to learn more skills or enrich your knowledge reserves, please pay attention to the industry information channel.

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