The relationship and difference between Keras and TensorFlow

Source: Internet
Author: User
Tags theano keras

TensorFlow and Theano and Keras are deep learning frameworks, TensorFlow and Theano are more flexible and difficult to learn, they are actually a differentiator.

Keras is actually TensorFlow and Keras interface (Keras as the front end, TensorFlow or Theano as the back end), it is also very flexible, and relatively easy to learn. You can see the Keras as an API after the TensorFlow package.

Keras's author François Chollet, who works at Google, now Keras seems to have become the official TensorFlow API.

Contact Us

The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion; products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the content of the page makes you feel confusing, please write us an email, we will handle the problem within 5 days after receiving your email.

If you find any instances of plagiarism from the community, please send an email to: info-contact@alibabacloud.com and provide relevant evidence. A staff member will contact you within 5 working days.

A Free Trial That Lets You Build Big!

Start building with 50+ products and up to 12 months usage for Elastic Compute Service

  • Sales Support

    1 on 1 presale consultation

  • After-Sales Support

    24/7 Technical Support 6 Free Tickets per Quarter Faster Response

  • Alibaba Cloud offers highly flexible support services tailored to meet your exact needs.