Neural Networks, Machine Learning, Deep Learning, Computer Vision, Data Science.
idx = 0 # start by the first training sample 23. iteration = 0 #loop iteration variable 24. while(iteration < 2000 or error >= 0.01): #while(error >= 0.1): 25. predicted = activation_function(weights[0]*1+weights[1]*inputs[idx]) 26. error = prediction_error(desired_output[idx], predicted) 27.