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RaftLabs - Product Development Agency
RaftLabs - Product Development Agency

Posted on • Originally published at raftlabs.co

Learning TensorFlow? These resources canΒ help!

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1. TensorFlow Tutorial

This is the Official TensorFlow documentation and tutorial. Everything from the basics to the advanced parts is covered. Excellent tutorial for tests and interviews as well since TensorFlow concepts are also covered.

[Created by TensorFlow]

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2. TensorFlow Tutorial For beginners

In this TensorFlow tutorial for beginners video, you will learn TensorFlow concepts like tensors, the program elements in TensorFlow, and constants & placeholders in TensorFlow python how variable works in placeholder and a demo on MNIST. There's a short quiz as well at the end to test your knowledge.

[Created by Intellipaat]

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3. Introduction to TensorFlow

Introduction to TensorFlow is a Coursera tutorial that teaches the basics about TensorFlow through Videos, Assignments, and Notes.

[Created by Laurence Moroney]

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‍4. Intro to TensorFlow for DeepΒ Learning

Learn how to build deep learning applications with TensorFlow. The TensorFlow team and Udacity developed this course as a practical approach to deep learning for software developers. You'llΒ :

  1. get hands-on experience building your state-of-the-art image classifiers and other deep learning models.
  2. Use your TensorFlow models in the real world on mobile devices, in the cloud, and in browsers.
  3. 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.

[Created by Udemy]

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5. Hello, TensorFlow

A tutorial cum online project that walks you through the entire process of learning TensorFlow and makes you build your first TensorFlow graph from the ground up.

[Created by Aaron Schumacher]

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Originally posted at raftlabs.co

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Timeless DEV post...

How to write a kickass README

Arguably the single most important piece of documentation for any open source project is the README. A good README not only informs people what the project does and who it is for but also how they use and contribute to it.

If you write a README without sufficient explanation of what your project does or how people can use it then it pretty much defeats the purpose of being open source as other developers are less likely to engage with or contribute towards it.