AI seminar Introduction
- morshed adnan
- Mar 11, 2020
- 1 min read
I am enrolled to a module called “AI Seminar”. In this module, each student is expected to read a scientific paper in the area of Artificial Intelligence .The paper could be a conference paper of journal article. Through out the semester, individual will learn academic writing, understanding content, reviewing the literatures and criticizing a paper, evaluating yourself oneself and have a final presentation.
I have chosen to work on the paper named Going deeper with Convolutions by Anguelov and Szegedy.
Hi, Thanks for reading my blog and asking this specific question.
Well, In my bachelor studies I developed a face recognition application using FisherFaceRecognizer algorithm in OpenCv platform. The program was written in C++ and trained many images of our faces (a group of 5 people) from a various angles. This application was able to detect our faces accurately. Most importantly, in the last semester I took Deep Learning module where I learned various neural networks algorithm such as multilayer perceptron, convolutional neural networks, recurrent neural network and so on. Among them I really enjoyed how convolutional neural network works in image classification and segmentation. The concept of various layers in convolution intrigued me most such as max pooling layers…
What's your previous expertise with image processing neuronal networks? Why is the chosen paper appealing to you?