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# create a simple multilayer covnet, with Rectified Linear Units (ReLu) activation functions and cross entropy loss.
import tensorflow as tf
import numpy as np


    

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# define two functions for making weights and bias, specifcally, slightly positive bias since we're using Relu activation
def weight_variable(shape):
    initial = tf.truncated_normal(shape, stddev = 0.1)
    return tf.Variable(initial)

def bias_variable(shape):
    initial = tf.constant(0.1, shape = shape)
    return tf.Variable(initial)


    

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