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Thoughts on the Coursera Deep Learning Specialization

adventuresinwhy.com · published 22 May 2020

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http://karpathy.github.io/2015/05/21/rnn-effectiveness/
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https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/He_Deep_Residual_Learning_CVPR_2016_paper.pdf
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https://github.com/fchollet/deep-learning-models
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https://www.vlfeat.org/matconvnet/pretrained/
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https://github.com/davidsandberg/facenet
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https://nlp.stanford.edu/projects/glove/
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https://keras.io/api/applications/
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https://arxiv.org/abs/1506.02640
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https://pjreddie.com/darknet/yolo/
pjreddie.com
https://arxiv.org/abs/1508.06576
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Convolutional neural networks for artistic style transfer Read at the source ↗
harishnarayanan.org
http://www.chioka.in/tensorflow-implementation-neural-algorithm-of-artistic-style
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https://research.fb.com/wp-content/uploads/2016/11/deepface-closing-the-gap-to-human-level-performance-in-face-verification.pdf
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https://github.com/iwantooxxoox/Keras-OpenFace
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https://papers.nips.cc/paper/6228-man-is-to-computer-programmer-as-woman-is-to-homemaker-debiasing-word-embeddings.pdf
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https://mc.ai/a-beginners-guide-deep-learning-specialization-courses-summary/
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