Computer Vision in Python

Overview

Part of the ModularMaster Certificate in Data Science & Artificial Intelligence programme

This course introduces more advanced neural network models, with applications of image and video data. This course also explores the concept of generative AI (artificial intelligence), as well as adversarial machine learning in computer vision. Overall, this course serves to give students a broad vision of the different directions and applications for computer vision. This course assumes students have already a good programming background in Python and PyTorch.

Course details

Course dates: 

Currently unavailable.

 

Course duration:

3 days, 9.00 AM – 5.00 PM

Who should attend

Working professionals who are familiar with Python programming, computing or software engineering. This course is suitable for professionals with a small technical background who plan to enter the data science or artificial intelligence field. A background in deep learning is also required. E.g. data scientists, machine learning engineers, AI/deep learning engineer, product managers, business analysts, etc.

 

Prerequisites

  • Participants should possess a basic understanding of the Python programming language and deep learning. If students already have a background in data science/machine learning, the requirement can be lifted.
What’s next

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