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LMLow 4-Convolutional Neural Networks

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GIC, 6th floor

Roxby Building

Liverpool

L7

United Kingdom

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The fourth session of the “Learning Machine Learning Open Workgroup” (LMLow) will take place on February 23th. at 3pm in the GIC 6th. Floor, Roxby Building (turn left out of the lift). The session will cover Convolutional Neural Network (CNN) and image analysis, with an image classification example to demonstrate a real-world application of the method.

READINGS

For session 4 there are two primary readings and one optional reading. The first provides an overview from deep learning to CNN (to save your time just read pages 1-5 for the first), and the second elaborates what CNN is and how it works. For a deeper understanding, the third demonstrates an application of the method in image classification:

LeCun, Y., Bengio, Y. & Hinton, G. (2015). “Deep learning”. Nature 521, 436–444.


Standford University. (2017). Class CS231n: Convolutional Neural Networks (CNNs/ConvNets). [online] Available at: http://cs231n.github.io/convolutional-networks/ [Accessed 2 Feb. 2018].


Krizhevsky, A., Sutskever, I. & Hinton, G. (2012). “ImageNet classification with deep convolutional neural networks”. In Proc. Advances in Neural Information Processing Systems 25, 1090–1098.


MEETING

When: Friday, February 23th. 3pm.

Where: GIC, Roxby Building, 6th. floor.

How: Please RSVP at the Event page.


Any questions, comments or feedback, please get in touch with Dani at D.Arribas-Bel@liverpool.ac.uk and Mark at mark.green@liverpool.ac.uk.

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Date and Time

Location

GIC, 6th floor

Roxby Building

Liverpool

L7

United Kingdom

View Map

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