/Learning-Tensorflow

This repository contains basic code to learn Tensorflow along with the implementation of MLP on MNIST handwritten digit data-set using purely Tensorflow.

Primary LanguageJupyter Notebook

Learning-Tensorflow

This Repository contains two files:

  1. Basic_Codes: This file contains codes of basics of Tensorflow.
  2. MLP_MNIST_Tensorflow: Here, we have implemented a simple 3 to 5 layered MLP architecture using MNIST handwritten digit dataset. We have applied all of the techniques likes dropouts, batch normalization, sigmoid, ReLu, gradientDescentOptimizer and Adam optimizer using only Tensorflow.

How to Run

Just run any of the ipynb files from any of the two folders.