- Basic_Codes: This file contains codes of basics of Tensorflow.
- 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.
Just run any of the ipynb files from any of the two folders.