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Deep Learning from the Perspective of the Experimental Biologist (part 1 of 4)


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Deep learning has emerged as a powerful approach to address complex problems in various fields, including biology. In this four-part series of vLEs, we will describe the theory and application of two deep learning models - the multiplayer perceptron and the convolutional neural network. As an example of their use in biology, we will demonstrate how to use these models to perform automated classification of blood cell images. This series is targeted at experimental biologists who are unfamiliar with but are interested in applying deep learning to their own research. This is a "zero-entry" series that assumes no prior familiarity with deep learning or programming, and is open to everyone.

Part 1 (October 15): Introduction
Part 2 (October 22): What is a neural network?
Part 3 (October 29): Using a multilayer perceptron to classify blood cell images
Part 4 (November 5): Using a convolutional neural network to classify blood cell images


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Status Archived
Date Thursday, October 15th, 2020
Time 4:30pm - 6:00pm
Location Virtual Classroom
Leader Akshay Bareja
Enrolled 91