MLDL 105 – Computer Vision with CNNs

(Weeks 9–10 | Lecture 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Contact Hrs | 1.0 Semester
Credit)
Students will:

• Architect and train convolutional neural networks (CNNs) for image tasks.
• Implement pooling, padding, and feature extraction techniques.
• Apply data augmentation to improve model robustness and generalization.
  Prerequisite: MLDL 104 – Introduction to Deep Learning
  Tools: TensorFlow, OpenCV, Keras