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Deriving confidence intervals for variants of Recall, Precision and F1
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Exploring Explainability for Vision Transformers
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Overview of Active Learning for Deep Learning
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Hallucinating faces with Deep Learning
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Accelerating Deep Neural Networks with Tensor Decompositions
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Pruning deep neural networks to make them fast and small
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Visualizations for regressing wheel steering angles in self driving cars
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Class activation maps in Keras for visualizing where deep learning networks pay attention
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A few notes on using the Tensorflow C++ API
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Visualizing CNN filters with keras
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Smoothing images with the Mumford Shah functional
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Simple Image saliency detection from histogram backprojection
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Image Fisher Vectors In Python
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Bag of visual words for image classification
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Refining the Hough Transform with CAMSHIFT