Shulou(Shulou.com)06/01 Report--

In this issue, the editor will bring you about the image recognition application of Tensorflow. The article is rich in content and analyzes and narrates it from a professional point of view. I hope you can get something after reading this article.

The following is mainly about the application of image recognition in Tensorflow.

There are many models of image recognition, the more famous ones are AlexNet, VGG, GoogleNet,ResNet and so on. The picture shows the results of these models in the ILSVRC competition. GoogleNet is also called Inception, and Inception V3, which we will use later, is the third generation model of Inception.

Let's take a look at how to use Inception V3 for image recognition.

Download google Image recognition Network inception V3

First of all, download a trained inception V3 model, and you can call the model directly when doing image recognition.

6. Using inception V3 to recognize various images

The output is as follows:

This is what the image recognition application of Tensorflow is like. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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