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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Convolutional Neural Networks (CNNs) Conference Speakers
Recommended Sessions
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