Deep Learning/ Machine Vision

Machine Vision, Deep Learning algorithms implemented using TensorFlow, NumPy and MatPlotLib, for UOM's EN4553 - Machine Vision Module ❄

Assignments

1. Assignment 1 - Probability Theory: [Questions], [Answers], [Google Colab NB for Q4]
2. Assignment 2 - Convolutional Neural Netwroks Fundamentals - Forward & Backward Pass [Questions] [Answers]
3. Assignment 3 - Polynomial Regression [Questions] [Answers]

Practicals

1. TensorFlow Introduction [Colab]
2. CIFAR Training [Colab]
3. Using Pre-trained Networks [Colab]
4. Text Classification with Transformer Encoder Models [Colab]

References

UOM's EN4553 - Machine Vision: Lecture Notes and Lectures by Dr Sadeep Jayasumana, a Visiting Lecturer at University of Moratuwa (Seasonal) and a Senior Research Scientist at Google Research.