What is Tensor Flow: applications of Google’s artificial intelligence system

systems artificial intelligence are increasingly important in the business world to save economic costs. Search engine Google launched the open software tool TensorFlow in 2015 and is having great commercial success. Several companies use it for their processes, as it is very useful due to its versatility and level of development.

There were already precedents in 2011 What DistBelief, which performed similar functions, based on the neural network system. The need to create a tool with a larger and editable dataset led to the development of TensorFlow. This software is so widespread that, today, it is impossible to understand the development of artificial intelligence without its input.

What is TensorFlow

TensorFlow it’s a library open source which is based on a system of neural networks. This means you can relate various data networked simultaneously, in the same way that the human brain does. For example, you can recognize multiple words of the alphabet because it relates letters and phonemes. Another case is that of images and texts that can be quickly related to each other thanks to the association capacity of the neural network system. In the program, all the tests and experiments that were carried out for the development of programs and applications are stored.

The decision of release TensorFlow was taken in November 2015, so today it is possible to access this tool freely and edit it according to the needs. Already when it was released, the ability to recognition and relationship I had was greater than 93% on images, and its improvement through the OpenSource license has allowed its massive use. In addition, he also managed to the time of prosecution be reduced to 0.7 seconds on average Therefore, it is a tool that has improved processing capacity and speed.

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TensorFlow Applications

Google managers believe that TensorFlow can be very useful for healthcare companies, insurance Y automotive. Since he released the code, a number of companies use the software or have relied on it to develop applications. Another popular application derived from the use of data from TensorFlow is the image recognition engine deep dream. thousands of e researchers University students bet on TensorFlow as a basis to develop their own artificial intelligence systems.

In addition to altruism, Google released TensorFlow for extend this technology in the development of applications in different devices. We can also say that it responds to a long term strategy to be present on more devices and platforms. One advantage of Google’s policy is that its competitors, amazon Y microsoftthey saw each other required to provide tools artificial intelligence with open source. Today, offering freely accessible artificial intelligence tools is a company policy, especially in the technology sector.

The prospect is that this software will continue to be used for many years.

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