Overview
This course teaches how to implement various neural network examples in MATLAB for tasks such as image denoising, image classification, face recognition, and performance prediction. The course aims to help learners understand and apply deep learning techniques using MATLAB. The teaching method involves hands-on examples and practical exercises. This course is intended for individuals interested in deep learning, neural networks, and their applications in MATLAB.
Syllabus
Image Denoising using Deep Neural Network.
Denoising Color Image using Deep Neural Network.
GoogleNet Image Classification in MATLAB.
GoogleNet Image Classification from Live Webcam Feed.
Face Recognition using CNN (GoogleNet).
Fruit Classification using GoogleNet Convolutional Neural Network (CNN).
Vehicle Classification using GoogleNet Convolutional Neural Network (CNN).
Face Recognition using CNN (Squeezenet).
Student Performance Prediction using Deep Neural Network.
Taught by
Nuruzzaman Faruqui