Convolutional Neural Network (CNN)

A convolutional neural network (CNN) is a type of artificial neural network used in image recognition and processing that is specifically designed to process pixel data. Examples of CNN in computer vision are face recognition and image classification. Computer vision has many uses. It can recognize, it can be used in quality control and security and it can also recognize very successfully different objects on the image. In this ideal fair project, we built a supervised machine learning model to classify photos of dogs and cats. We learned how to create and configure a Convolutional Neural Network (CNN). Neural Network is a very powerful method for computer vision tasks and other applications. We will practice the configuration and optimization of CNN in Tensorflow.

About Us

Robotics Club USM, is a gathering/club that provide a platform for students who are interested to learn, research, and development about robot. In USM, Robotics Club is a club which is under the supervision of School of Electrical and Electronic Engineering. However, the club also consists of members from various schools for instance School of Mechanical Engineering, School of Chemical Engineering and etc. Basically this club is one of the clubs wholly organized by students where lecturers act as managers.

Recently, USM Robotics Club mainly focuses on Research and Development (R&D) to develop new technology to apply in the robotics for solving some specific tasks. By having R&D department, we manage to improve our technology level to get a better performance for our robots.

Hopefully with these skills and knowledge our members gain from here, they can develop a new and useful technology to have a better life for human-being in future.