Deep Learning

Undergraduate/Postgraduate course, Griffith University, ICT, 2024

Deep Learning (3008ICT)

This course provides a comprehensive exploration of deep learning fundamentals and practical applications. Key topics include:

  • Neural Networks, including CNNs and RNNs.
  • Deep Learning Frameworks like TensorFlow and PyTorch.
  • Practical applications in computer vision and natural language processing.

As a Teaching Assistant, I help students bridge the gap between theory and hands-on knowledge, providing guidance on building and training robust deep learning models from the ground up.