Convolutional Neural Networks

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  • Foundations of Convolutional Neural Networks
    • Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.
  • Deep Convolutional Models: Case Studies
    • Discover some powerful practical tricks and methods used in deep CNNs, straight from the research papers, then apply transfer learning to your own deep CNN.
  • Object Detection
    • Apply your new knowledge of CNNs to one of the hottest (and most challenging!) fields in computer vision: object detection.
  • Special Applications: Face recognition & Neural Style Transfer
    • Explore how CNNs can be applied to multiple fields, including art generation and face recognition, then implement your own algorithm to generate art and recognize faces!