Month 8: Convolutional Neural Networks (CNNs)

Month 8: Convolutional Neural Networks (CNNs)

Week 1: Introduction to CNNs

  • Recap of Neural Networks and Deep Learning Fundamentals
  • Convolutional Layers
  • Pooling Layers
  • Local Connectivity and Weight Sharing

Week 2: CNN Architectures

  • LeNet-5
  • AlexNet
  • VGGNet
  • ResNet

Week 3: Image Classification using CNNs

  • Image Preprocessing and Augmentation
  • Transfer Learning
  • Fine-Tuning Pretrained Models
  • Performance Metrics for Image Classification

Week 4: Applications of CNNs

  • Object Detection and Localization
  • Semantic Segmentation
  • Face Recognition
  • Image Style Transfer