Deep Learning for Image Recognition - Part of Post Diploma Certificate in Deep Learning and Applied Generative AI (SDGAI)
About This Course
This module gives an introduction to the basic principles of Deep Learning (DL) techniques that are specifically designed for handling and analyzing visual data, such as images and videos. Learners will gain a fundamental understanding of Deep Learning, a subset of Machine Learning, and explore Deep Learning models like Neural Networks and Convolutional Neural Networks (CNN). They will have opportunities to apply these models practically in visual data processing. Through the experiential learning approach, learners will have hands-on experience implementing and training Deep Learning models by coding with associated libraries.
What You'll Learn
1. Understand the basic principles of Deep Learning (DL) for visual data.
2. Explore DL models like Neural Networks and Convolutional Neural Networks (CNN).
3. Apply these models in practical visual data processing tasks.
4. Gain hands-on experience implementing and training DL models using coding libraries.
Entry Requirements
A recognized local Polytechnic Diploma or Degree in any discipline or at least one (1) year of relevant work experience.