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Michael Cogswell ·

I’m a PhD student working with Dhruv Batra. I try to understand Neural Networks, especially as applied to Computer Vision. As deep networks become more widely used, I hope to find new ways for users to understand the complex systems they use and to leverage this understanding to build better models. Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam,. Devi Parikh, Dhruv Batra.

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Michael Cogswell · | mcogswell.io Reviews

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I’m a PhD student working with Dhruv Batra. I try to understand Neural Networks, especially as applied to Computer Vision. As deep networks become more widely used, I hope to find new ways for users to understand the complex systems they use and to leverage this understanding to build better models. Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam,. Devi Parikh, Dhruv Batra.

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Michael Cogswell · | mcogswell.io Reviews

https://mcogswell.io

I’m a PhD student working with Dhruv Batra. I try to understand Neural Networks, especially as applied to Computer Vision. As deep networks become more widely used, I hope to find new ways for users to understand the complex systems they use and to leverage this understanding to build better models. Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam,. Devi Parikh, Dhruv Batra.

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About Me · Michael Cogswell

http://mcogswell.io/about

In 2013 I completed bachelor of science degrees in Computer Science and Mathematics at Virginia Tech and liked the place well enough to stay a while longer. Currently, I’m a PhD student working on Machine Learning and Computer Vision with Dhruv Batra. I’m interested in AI, in understanding how intelligence can be constructed and through that how it works. In particular, the complex models allowed Deep Learning. Open up a number of new questions that interest me:. Where do deep networks fail? Aside from r...

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Blog · Michael Cogswell

http://mcogswell.io/blog

Understanding CNNs Through Visualization (part 2). I’ve finally uploaded part 2 of my visualization blog, which visualizes relations between features in ConvNets. You can see it here. It comes with some code. That visualizes relations between features in AlexNet. If you haven’t read part 1. Yet then you might want to start with that. Understanding CNNs Through Visualization. I’ve been working on a blog post about how CNNs are visualized and you can see the first part here.

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Virginia Tech MLP Lab

https://mlp.ece.vt.edu/index.html

Virginia Tech MLP Lab. Machine Learning and Perception Lab. Led by Prof. Dhruv Batra. This is the MLP Lab at Virginia Tech. Join the reading group here. Blacksburg, VA 24060. Design and CSS courtesy: Victor Chahuneau.

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Michael Cogswell ·

I’m a PhD student working with Dhruv Batra. I try to understand Neural Networks, especially as applied to Computer Vision. As deep networks become more widely used, I hope to find new ways for users to understand the complex systems they use and to leverage this understanding to build better models. Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. Ramprasaath R. Selvaraju, Abhishek Das, Ramakrishna Vedantam,. Devi Parikh, Dhruv Batra.

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