Convolutional Neural Networks (CNNs)

CNNs are specialized architectures widely used for image-related tasks. It covers convolutional layers, pooling operations, and feature maps that capture spatial hierarchies. Learners explore advanced concepts like transfer learning and pre-trained models. Applications include medical imaging, object detection, and facial recognition. It highlights efficiency improvements through parameter sharing. CNNs dominate computer vision solutions across industries.

Vision Techniques:

  • Convolution and pooling mechanisms
  • Spatial feature extraction
  • Transfer learning applications

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