Use adapted gaussian deviation to initialize weights

python/start_session.py

@@ -16,7 +16,7 @@ activationDerivative = lambda x : expit(x) * (1 - expit(x))
 epochs = 1
 
 # Session
-network = generator.generate(activation, activationDerivative, generator.gaussUnitDev)
+network = generator.generate(activation, activationDerivative, generator.gaussAdaptedDev)
 
 precisionBefore = benchmark.computePrecision(network)