Objectives
- Deep learning basics models and layers- Linear models and optimisation
- Image classification
- Usage of state-of-the-art deep learning libraries
- Structure of Convolutional Neural Networks (CNN)
- Learning rates and their impact in final results
- CNN’s learning process
Lessons
About this course
About this Course:
This course is a specialised version of our Data Science Introduction (Python), designed specifically for the National Data Science Challenge organized by Shopee—the largest data science competition in Singapore. In this course, students will learn the basic Deep Learning techniques to prepare themselves for the beginner category of the challenge: Product Category Classification.
By the end of the course, students will be able to build simple Deep Learning structures, namely a “classification” or “prediction” engine. Students will also learn to build Deep Learning models with an aim towards product category classification. All coding and projects will be done in class, under the supervision of the instructor.
Whether you are thinking of registering or have registered for the National Data Science Challenge, joining this course will definitely give you the head start you need.
Prerequisites
This course requires a basic understanding of Python. Students looking to sign up for this course would have to have graduated from our Python Development Course. A Student Affairs Officer will reach out to you upon registration to confirm your mastery of Python.