print("-" * 10 + " Initializing Weights " + "-" * 10)
for row in network:
if row != network[0]:
print("randomising neuron in row" + str(row))
for key, neuron in row.neurons.items():
print("scrambling neuron no." + str(key))
neuron.scramble()
print("-" * 10 + " Initializing Initial Activations " + "-" * 10)
index = r.randrange(0, len(images))
for key, neuron in init_row.neurons.items():
neuron.activation = images[index][key]
print(str(neuron.id) + " was updated with: " + str(images[index][key]))
print("-" * 10 + " Running network " + "-" * 10)
init_row.send()
print("The actual value is: " + str(labels[index]))
loop = input("\nWhat now? (run/scramble/quit/img/next): ")
while True:
if loop == "run":
init_row.send()
print("The actual value is: " + str(labels[index]))
elif loop == "img":
print(mndata.display(images[index]))
elif loop == "scramble":
print("-" * 10 + " Initializing Weights " + "-" * 10)
for row in network:
if row != network[0]:
print("randomising neuron in row" + str(row))
for key, neuron in row.neurons.items():
