NeuralNetwork_impl.py

from NeuralNetwork import NLayerPerceptron
import sys
import warnings

import tensorflow as tf
#It will download and read in the data automatically
from tensorflow.examples.tutorials.mnist import input_data

mnist = input_data.read_data_sets("MNIST_data/", one_hot=True)
batchSize = 128
batch_x, batch_y = mnist.train.next_batch(batchSize)

optimizer = tf.train.AdamOptimizer

N = NLayerPerceptron()
N.train(x= batch_x, y = batch_y, optimizer=optimizer)