gokriznastic / simplest-TensorFlow-tutorial

The simplest TensorFlow tutorial for classification of MNIST dataset using neural networks in TensorFlow.

simplest-MNIST-TensorFlow

The simplest TensorFlow tutorial for classification of MNIST dataset using neural networks in TensorFlow.

Overview

This repository is a very basic implementation of neural networks using TensorFlow on the "hello world" of deep-learning- the MNIST handwritten digits dataset.

Pre-requisites

• Basic knowledge of Python and numpy.
• This tutorial assumes that you have a basic understanding of neural networks and the related terminology like weights, bias, layers etc. along with an understanding of how forward propagation works and a brief idea of how backward propagation is used to update our parameters. (Every mathematical detail related to neural networks is not required.)

Dependencies

• Jupyter Notebook
• TensorFlow
• NumPy
• Matplotlib