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Intro to TensorFlow for Deep Learning

via Udacity

3 Reviews 35 students interested

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Overview

Learn how to build deep learning applications with TensorFlow. This course was developed by the TensorFlow team and Udacity as a practical approach to deep learning for software developers. You'll get hands-on experience building your own state-of-the-art image classifiers and other deep learning models. You'll also use your TensorFlow models in the real world on mobile devices, in the cloud, and in browsers. Finally, you'll use advanced techniques and algorithms to work with large datasets. By the end of this course, you'll have all the skills necessary to start creating your own AI applications.

We are releasing a first batch of lessons and more will become available every 3-4 weeks.



Why Take This Course?

Learn how to build deep learning applications with TensorFlow. You'll get hands-on experience building your own state-of-the-art image classifiers and other deep learning models. You'll also use your TensorFlow models in the real world on mobile devices, in the cloud, and in browsers. By the end of this course, you'll have all the skills necessary to start creating your own AI applications.

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Reviews for Udacity's Intro to TensorFlow for Deep Learning
3.7 Based on 3 reviews

  • 5 stars 67%
  • 4 star 0%
  • 3 star 0%
  • 2 star 0%
  • 1 star 33%

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  • 1
Anonymous
5.0 2 months ago
Anonymous is taking this course right now.
This course will be very useful for beginners who would like to know about each and every basic concepts in deep learning. The examples they teach are wonderful.
Was this review helpful to you? Yes
Thuy D
5.0 2 months ago
Thuy completed this course, spending 2 hours a week on it and found the course difficulty to be very easy.
Instructor are very clear and make the lecture very easy to understand!

The lesson is perfect for beginner. I like this and want to recommend for others
Was this review helpful to you? Yes
Anonymous
1.0 2 months ago
Anonymous is taking this course right now.
This is bs, course is not even finished. This is just another sign of tensorflow hype - people even market stuff that is actually finished!
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