https://github.com/pankajarm/tensorflow-playground
https://github.com/pankajarm/tensorflow-playground
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/pankajarm/tensorflow-playground
- Owner: pankajarm
- Created: 2017-03-23T21:53:42.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-10-16T21:51:41.000Z (over 7 years ago)
- Last Synced: 2025-03-02T09:39:41.986Z (3 months ago)
- Language: Jupyter Notebook
- Size: 36.1 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 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](https://github.com/pankymathur/tensorflow-playground/blob/master/tensorflow-linear-regression.ipynb)
2. [Logistic Regression with MNIST](https://github.com/pankymathur/tensorflow-playground/blob/master/Logistic-Regression.ipynb)
3. [Multilayer Perceptron with MNIST](https://github.com/pankymathur/tensorflow-playground/blob/master/Multilayer_Perceptron.ipynb)
4. [Kaggle MNIST with Multilayer Perceptron](https://github.com/pankymathur/tensorflow-playground/blob/master/Kaggle-MNIST-Multilayer-Perceptron.ipynb)
5. Convutional Neural Network (upcoming..)
### Install
I am using [Conda](https://www.continuum.io/anaconda-overview) 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?](http://pankajmathur.com/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](https://github.com/pankymathur/tensorflow-playground) on your local machine via Git or [GitHub Desktop](https://desktop.github.com)
under tensorflow-playground environment on your terminal or shell window, cd to cloned directory and then run following command:
```
jupyter notebook
```