gistfile1.txt

###Training the model
#Run the training function per mini-batches.
n_examples =  X_train.shape[0]
n_batches = n_examples / batch_size
epochs=50

for epoch in xrange(epochs):
    for batch in xrange(n_batches):
        x_batch =  X_train[batch*batch_size: (batch+1) * batch_size]
        y_batch = y_train[batch*batch_size: (batch+1) * batch_size]
        
        train_fn(x_batch, y_batch) # This is where the model gets updated
        
        
        
###Testing the model
loss, acc = val_fn(X_test, y_test)
test_error = 1 - acc
print('Test error: %f' % test_error)