1. ALGORITHM
Description •A convolution neural network (CNN) is a specific type of artificial
neural network that uses perceptrons, a machine learning unit
algorithm, for supervised learning
•CNNs apply to image processing, natural language processing and
other kinds of cognitive tasks.
Why ? in this paper , the project deals with a data-set that involves images
and since image processing is done CNN algorithm is the best
algorithm to be applied
Advantages •CNNs are useful for 1D problems like time series, and 3D image
classification
•Convolution Neural Network (CNN) CNN learns the filters
automatically without mentioning it explicitly.
Disadvantages However, If the images contain some degree of tilt or rotation then
CNNs usually have difficulty in classifying the image