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Week 3
[Slides] Image classification, linear classifier
[Slides] Image classification, linear classifier
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Lecture_3.pdf
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◄ [Lecture] Image classification, linear classifier
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[Lecture] Image, filtering, convolution
[Slides] Image, filtering, convolution
[Recording] Session 1
[Lecture] Histograms, data-driven approach, classification, knn
[Slides] Histograms, data-driven approach, classification, knn
[Lecture] Image classification, linear classifier
[Recording] Session 2
[Lecture] Deep learning, convolutional neural networks
[Slides] Deep learning, convolutional neural networks
[Lecture] Convolutional neural network architectures, backpropagation
[Slides] Convolutional neural network architectures, backpropagation
[Lecture] Recurrent neural networks
[Slides] Recurrent neural networks
[Recording] Session 3
Assignment
[Lecture] Transformers
[Slides] Transformers
[Lecture] Network visualization
[Slides] Network visualization
[Recording] Session 4
Project proposals
[Video] Deep Learning in Medical Imaging (Ben Glocker, Imperial College London)
[Video] Deep learning approaches for MRI research: How it works (Kamlesh Pawar, Monash University)
[Video] MICCAI Industrial Talk: Foundation/Big Models for Medical Image Segmentation
[Recording] Session 5
Solutions
[Recording] Project Meeting
[Recording] Session 2 ►