Introduction to Deep Learning (Classroom & Asynchronous)
Training Provider: Ngee Ann Polytechnic
Course Reference: TGS-2022013891
S$480
Original: S$1,600
Save S$1,120
About This Course
Learners will be able to:
1) Understand how Artificial Neural Networks and Multi-layer Neural Networks works.
2) Understand how deep learning models are used for image recognition
3) Using popular libraries and framework to design and develop a deep learning model to address a problem statement
What You'll Learn
This course introduces Artificial Neural Networks and multi-layer neural networks, and the necessary python libraries and frameworks to design and build a simple deep learning model.
The course covers the following:
• Artificial Neural Networks
• Multi-layer Neural Networks
• Tensorflow and PyTorch
The course covers the following:
• Artificial Neural Networks
• Multi-layer Neural Networks
• Tensorflow and PyTorch
Entry Requirements
Intermediate programming experience
Intermediate statistics
Basic knowledge of data processing
Course Details
Back to All Courses
Note: To apply for this course, visit or contact the training provider directly.
More Courses from Ngee Ann Polytechnic
The AD Penetration Testing module provides a comprehensive exploration of vulnerabilities in network...
This is the core business analysis module of the programme, where learners develop the skills to tra...
The capstone module brings together all skills developed across Modules 1 to 4, challenging learners...