for_you_to_practice.py

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# 11 - classification example
"""
Please note, this code is only for python 3+. If you are using python 2+, please modify the code accordingly.
"""
from __future__ import print_function
import numpy as np
import theano
import theano.tensor as T

def compute_accuracy(y_target, y_predict):
    correct_prediction = np.equal(y_predict, y_target)
    accuracy = np.sum(correct_prediction)/len(correct_prediction)
    return accuracy

rng = np.random

N = 400                                   # training sample size
feats = 784                               # number of input variables

# generate a dataset: D = (input_values, target_class)
D = (rng.randn(N, feats), rng.randint(size=N, low=0, high=2))

# Declare Theano symbolic variables


# initialize the weights and biases


# Construct Theano expression graph


# Compile


# Training
for i in range(500):
    pass
    if i % 50 == 0:
        pass

print("target values for D:")
print('')
print("prediction on D:")
print('')