About the course
Discover the key technology behind driverless cars and voice control in Siri and Bixby and other hands-free consumer products in this exciting two-day course!
You will learn the fundamentals of Deep Learning with Python, and gain a deeper understanding on the various techniques of how you can teach computers to recognise different objects and patterns using large neural networks. As part of the workshop, you will also get a first-hand experience to build four different projects using deep learning architectures in Keras, a high-level neural network API that enables fast experimentation.
Please bring along your own laptop for the hands-on exercises. Our trainer will share the installation files for Python as well as the necessary source code editor during class. Additional libraries will also be installed during the workshop.
Who should attend?
This course is designed for participants who has a basic understanding of Python and individuals who wish to build deep neural network to create smart applications with machine learning.
Learning Objectives
Upon completion of this course, you will gain a deeper understanding and knowledge in the following topics:
- Python virtual environments
- Building blocks of deep learning
- Getting datasets for your deep learning projects
- Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Generative adversarial Networks
Entry Requirement
Prior programming knowledge and basic understanding of Python.
Certification
Participants will be awarded the Certificate of Attendance by Republic Polytechnic upon meeting 80% of the attendance.