Collaborating Authors

Tutorials TensorFlow


This section contains tutorials demonstrating how to do specific tasks in TensorFlow. If you are new to TensorFlow, we recommend reading the documents in the "Get Started" section before reading these tutorials. These tutorials focus on machine learning problems dealing with sequence data. These tutorials demonstrate various data representations that can be used in TensorFlow. Although TensorFlow specializes in machine learning, the core of TensorFlow is a powerful numeric computation system which you can also use to solve other kinds of math problems.



The official models are a collection of example models that use TensorFlow's high-level APIs. They are intended to be well-maintained, tested, and kept up to date with the latest stable TensorFlow API. They should also be reasonably optimized for fast performance while still being easy to read. We especially recommend newer TensorFlow users to start here. The research models are a large collection of models implemented in TensorFlow by researchers.

TensorFlow Tutorial-- Part 1


UPD (April 20, 2016): Scikit Flow has been merged into TensorFlow since version 0.8 and now called TensorFlow Learn. Google released a machine learning framework called TensorFlow and it's taking the world by storm. Now, but how you to use it for something regular problem Data Scientist may have? A reasonable question, why as a Data Scientist, who already has a number of tools in your toolbox (R, Scikit Learn, etc), you care about yet another framework? Let's start with simple example -- take Titanic dataset from Kaggle.

Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch


I will show you how to use Google Colab, Google's free cloud service for AI developers. With Colab, you can develop deep learning applications on the GPU for free. Google Colab is a free cloud service and now it supports free GPU! The most important feature that distinguishes Colab from other free cloud services is: Colab provides GPU and is totally free. Detailed information about the service can be found on the faq page.

Tensorflow Tutorial : Part 2 – Getting Started


In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that everyone seems to be talking about. The second part is a tensorflow tutorial on getting started, installing and building a small use case. If you have tensorflow already installed, you can just skip to the next section. Different operating systems have different means to install tensorflow.