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fastml.com | ||
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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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utkuufuk.com
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| | | | | Learning curves are very useful for analyzing the bias-variance characteristics of a machine learning model. In this post, I'm going to talk about how to make use of them in a case study of a regressi | |
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ajolicoeur.ca
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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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www.paepper.com
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| | | When you have a big data set and a complicated machine learning problem, chances are that training your model takes a couple of days even on a modern GPU. However, it is well-known that the cycle of having a new idea, implementing it and then verifying it should be as quick as possible. This is to ensure that you can efficiently test out new ideas. If you need to wait for a whole week for your training run, this becomes very inefficient. | ||
