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tomhume.org | ||
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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. | |
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kpzhang93.github.io
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| | | | | Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations and occlusions. Recent studies show that deep learning approaches can achieve impressive performance on these two tasks. In this paper, we propose a deep cascaded multi-task framework which exploits the inherent correlation between detection and alignment to boost up their performance. In particular, our framework leverages a cascaded architecture with three stages of carefully designed deep convolutional networks to predict face and landmark location in a coarse-to-fine manner. In addition, we propose a new online hard sample mining strategy that further improves the performance in practice. Our method achieves superior accuracy over the state-of-th... | |
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www.chrisritchie.org
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| | | | | [AI summary] The post documents a web-based simulation of artificial life agents controlled by evolving neural networks that learn to eat, swarm, and reproduce within a basic environment. | |
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jmsbrdy.com
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| | | There are striking similarities between the training of a neural network and the way that we - as humans - form habits. How should that inform our thinking about the potential for this type of artificial intelligence, and what we should and shouldn't be asking of it? | ||
