Deep Learning Specialisation (Synchronous E-learning)
About This Course
This course provides a comprehensive introduction to deep learning principles, tools, and advanced applications. Learners begin with the foundations of deep learning, gaining the ability to differentiate it from traditional machine learning and to distinguish between supervised and unsupervised approaches. They then explore data preprocessing and modeling tools, analyzing techniques to improve machine learning performance.
The course progresses into neural networks and architectures, where learners examine the structure of deep neural networks for vision recognition, classification, and prediction tasks using labeled data. It further develops skills in model optimization and performance improvement, focusing on performance tuning, reliability, and identifying areas for enhancement.
What You'll Learn
LO1. Differentiate deep learning and machine learning concepts by examining supervised and unsupervised learning paradigms and ethical considerations in pattern recognition.
LO2. Apply data preprocessing requirements and design deep learning models to improve machine learning performance.
LO3. Examine deep neural network architectures for vision recognition and apply them to solve classification and prediction tasks.
LO4. Evaluate pattern recognition results and model performance to propose improvement strategies.
LO5. Compare pattern recognition and machine learning techniques to select suitable methods for CNN-based vision problems.
LO6. Apply sequential and unsupervised learning techniques to model complex pattern recognition problems.
Entry Requirements
Minimum Requirements:
• Age: 21 years and above
• Education: At least a GCE 'O' Level certificate/ GCE ‘N’ Level (Normal Academic stream), Nitec or Higher Nitec qualifications
o Applicants without formal academic qualifications may also be considered if they have relevant work experience and computer knowledge
• Digital Proficiency:
o Comfortable using digital tools and workplace software (e.g., Microsoft Excel, cloud-based platforms)
o Able to perform basic computer tasks such as internet search, creating folders, and copy-paste operations
• Technical Experience:
o No coding experience is required