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Tensorflow for Practitioners with Python

This Getting Started With Tensorflow tutorial will help you in understanding how to use and reuse Tensorflow effectively.
$95   $5
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4.4 (137 reviews)
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Lectures:
51
Video:
4 hours
Level:
All level
Languages:
English
Last Updated:
11/2017
Includes:
30 day money back guarantee! Lifetime Access. No Limits! Certificate of Completion

Computers are getting smarter, and with AI pushed in to the pot, machine learning has become a prominent technological revolution that is changing how we run our devices. Devising algorithms for AI aren’t that easy, and require an extensive library to help them perform various tasks.

TensorFlow is one such library, this open-source library is created for dataflow programming across a range of tasks. It is also a symbolic math library that is commonly used for machine learning applications such as neural networks.

TensorFlow was designed by the Google team on their closed-source machine learning system known as DistBelief. This amazing system was designed to be useful in both research and commercial applications

If you want to boost your career in Machine Learning and AI, then this is a great system for you to learn. And because it is such a complex subject to learn, we have designed a brilliant course to help you simplify it.

This course lays a solid foundation to TensorFlow, a leading machine learning library from Google AI team. You'll see how TensorFlow can create a range of machine learning models, custom deep neural networks to transfer learning models built by big tech giants. You will also learn how to use and reuse tensorflow effectively and apply on industry relevant problems.

Everything you learn in this course will help you get a better footing in your career, as well as help you move to much bigger and better things.

What you’ll find in this course:

  • Introduction to TensorFlow
  • What is TensorFlow &why should you use it?
  • TensorFlow as an Interface and as an environment
  • Installing Tensorflow and becoming familiar with the interface
  • Running your first TensorFlow program
  • Building actual Neural Networks using TensorFlow
  • Deepening the Networks and integrating Deep Learning
  • Transfer Learning using Keras and TFLearn

Enroll Now and start building deeper and smarter algorithms with TensorFlow.

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