CS5100 Foundation of Artificial Intelligence
The objective of this project is to build a Single Object Recognition Machine Learning algorithm and compare its results with similar implementations in scikit-learn and Google’s TensorFlow. The algorithm is evaluated on MNIST and CIFAR-10 data set. The dataset is split into test and train subset. The algorithm trains on the training subset while the validation is done with the test subset. There are various ways to approach this problem. We will discuss few of them and which one we used for our classifier.
https://github.com/singhattinder/FAI-final-project/blob/master/Single_Object_Recognition_Report.pdf