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www.machinedlearnings.com | ||
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enginius.tistory.com
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| | | | | 1. What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?, 2017 : Infer epistemic uncertainty and aleatoric uncertainty using Bayesian neural networks. https://papers.nips.cc/paper/7141-what-uncertainties-do-we-need-in-bayesian-deep-learning-for-computer-vision What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? What Uncertainties Do We Need in Baye.. | |
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blog.evjang.com
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| | | | | The 30th annual Neural Information Processing Systems (NIPS) conference took place in Barcelona in early December. In this post, I share my ... | |
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ajolicoeur.wordpress.com
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| | | | | Paper / Code Since AlexNet showed the world the power of deep learning, the field of AI has rapidly switched to almost exclusively focus on deep learning. Some of the main justifications are that 1) neural networks are Universal Function Approximation (UFA, not UFO ??), 2) deep learning generally works the best, and 3) it... | |
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coornail.net
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| | | Neural networks are a powerful tool in machine learning that can be trained to perform a wide range of tasks, from image classification to natural language processing. In this blog post, well explore how to teach a neural network to add together two numbers. You can also think about this article as a tutorial for tensorflow. | ||
