Mathematics and Programming of AI | Report

Running head: MATHEMATICS AND PROGRAMMING OF AI
Mathematics and Programming of AI
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Mathematics and Programming of AI2
Executive Summary
Machine learning is one of the recent buzz in the industries. With machine learning it’s now
possible to recognize images and videos in real-time. The main motive of machine learning is to
learn from previous analysis itself for classification and prediction purposes. There are different
machine learning algorithm out of which Convolutional Neural Network is considered to be one
of the best algorithm to classify and predict the outcomes of the dataset. A CNN is a part of
deep learning algorithms where inputs are taken in the form of images and are assigned with
some importance to differentiate each images respectively. In this analysis two dataset have
been used which consist of images. One dataset consist the images of the street digits and
another dataset consist of images with facial expression. Both the dataset have been trained
using CNN model and at the end the accuracy of the model have been identified. A step by step
analysis have been performed over the datasets with in-depth investigation. At the end
conclusion will be concluded over the performance of the models that were built for classifying
the objects and some future scope for improving the accuracy of the model over same dataset.

Mathematics and Programming of AI3
Table of Contents
Executive Summary..................................................................................................................... 2
Introduction.................................................................................................................................. 4
Discussion................................................................................................................................... 4
Conclusion................................................................................................................................... 8
References.................................................................................................................................. 9