I was taking the "Machine Learning-Coursera (Standford) by Andrew Ng" course.
In Week 4
and Week 5
we have given programming assignments, Where we have to do digit classification.
In 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
?