I was taking the "Machine Learning-Coursera (Standford) by Andrew Ng" course.
Week 4 and
Week 5 we have given programming assignments, Where we have to do digit classification.
Week 4 programming assignment we have used
Feed forward Neural Network for classifying digits and we get an accuracy of around 97.5%. Then in
Week 5 programming assignment we have used
Neural Network with Backpropagation which gives us the accuracy of around 95%.
For this particular application (Character Classification) will
Feedforward Neural Network always dominate
Neural Network with Backpropagation?