Deep learning loss functions.ipynb
INTRO ML 01 - Machine learning - a very basic introduction.ipynb
INTRO ML 02 - gradient descent for machine learning.ipynb
SUPPLEMENTARY - Convolutions with sliding windows.ipynb
SUPPLEMENTARY - Gabor filters.ipynb
SUPPLEMENTARY - Standardisation.ipynb
TUTORIAL 01 - Using a pretrained conv-net - VGG net.ipynb
TUTORIAL 02 - Using a pretrained VGG-16 conv-net to find a peacock.ipynb
TUTORIAL 03 - Image region-level saliency using VGG-16 conv-net.ipynb
TUTORIAL 04 - Image pixel-level saliency using VGG-16 conv-net.ipynb
TUTORIAL 05 - Dogs vs cats with standard learning.ipynb
TUTORIAL 05 - Dogs vs cats with transfer learning and data augmentation.ipynb
TUTORIAL 05 - Dogs vs cats with transfer learning.ipynb
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