SKM5606 Deep Learning

This micro-certificate provides foundational knowledge in deep learning and intelligent systems, focusing on key concepts, neural network architectures, and performance evaluation methods. Learners develop the ability to compare deep learning techniques using loss functions and evaluation metrics. The program covers machine learning fundamentals, data and feature representation, and the impact of network design and hardware on performance. It also explores artificial neural networks, including their structure, activation functions, and forward and backward propagation. Additionally, learners are introduced to logistic regression, emphasizing loss and cost functions, differentiation, and gradient descent in backpropagation. This micro-certificate equips learners with essential analytical skills for evaluating and applying deep learning models.