4-Part Series on Deep Learning from the Perspective of the Experimental Biologist
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.
The series, presented by Akshay Bareja, will be held October 15, 22, 29, and November 5, with all sessions 4:30-6:00 PM.
- Part 1: Introduction (register at: https://training.oit.duke.edu/enroll/common/show/21/175288)
- Part 2: What is a neural network? (register at: https://training.oit.duke.edu/enroll/common/show/21/175289)
- Part 3: Using a multilayer perceptron to classify blood cell images (register at: https://training.oit.duke.edu/enroll/common/show/21/175290)
- Part 4: Using a convolutional neural network to classify blood cell images (register at: https://training.oit.duke.edu/enroll/common/show/21/175291)