Tensorflow Playground

This is the playground for basics but some of most important tensorflow tutorials and nano projects, all coded with care...

1. Linear Regression with sample data
2. Logistic Regression with MNIST
3. Multilayer Perceptron with MNIST
4. Kaggle MNIST with Multilayer Perceptron
5. Convutional Neural Network (upcoming..)

Install

I am using Conda to install TensorFlow. You might already have a TensorFlow environment, but please check below to make sure you have all the necessary packages. If you have never used Conda environments before, please go through my other tutorial What is Anaconda and Why should I bother about it?

Assuming you have conda install on your machine, plesae run the following commands to have tensorflow-playground ready for you to play.

OS X or Linux

Run the following commands to setup your environment:

conda create -n tensorflow-playground python=3.5
source activate tensorflow-playground
conda install pandas matplotlib jupyter notebook scipy scikit-learn
pip install tensorflow

Windows

And installing on Windows. In your console or Anaconda shell:

conda create -n tensorflow-playground python=3.5
activate tensorflow-playground
conda install pandas matplotlib jupyter notebook scipy scikit-learn
pip install tensorflow

After creating conda environment, clone this repository on your local machine via Git or GitHub Desktop

under tensorflow-playground environment on your terminal or shell window, cd to cloned directory and then run following command:

jupyter notebook