Implementing VGG13 for MNIST dataset in TensorFlow

This is a new implementation of VGG13 Convolutional Neural network with the new TensorFlow APIs (TensorFlow > v1.4) In this project we are going to: Prepare the environment (e.g., importing the required libraries) Load a dataset to train on (MNIST dataset) Implement a fully functioning ConvNet using TensorFlow Train the implemented model on the dataset Analyze the results 1. Preparing the environment We import the numpy, TensorFlow, and matplotlib libraries to do some graphing.