Need to optimize memory, add a way to have multiple runs

digits.py

@@ -14,7 +14,7 @@ def main():
 			deskew_data()
 
 	training, validation, test = load_data()
-	train([784, 128, 10], 0.008, 0, 0.05, training, validation)
+	train([784, 128, 10], 0.008, 0.2, 0.05, training, validation)
 
 
 # root = tk.Tk()

src/utils.py

@@ -15,6 +15,7 @@ def load_data(deskew=True):
 	Returns the training, validation, and test data as a list of tuples,
 	where the outputs are one-hot encoded vectors.
 	"""
+	# TODO: Optimize memory usage by loading only parts.
 
 	# The _py3 version of the dataset is a redumped version for Python 3
 	# which doesn't use Python 2's latin1 encoding