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Winner of Machine Learning Hackathon

Jiro‘s Pick this week is Deep Learning Hackathon with Transfer Learning by Paola Jaramillo.

Deep learning is becoming more accessible to casual programmers, especially with many pretrained deep neural networks that people can download from the Add-On Explorer. These pretrained networks are trained on some specific set of images, and they can be a great starting point for new tasks. Adapting a pretrained network for a new task is called transfer learning.

This entry by Paola is an example of transfer learning that won her first place at a Hackathon on Deep Learning for Agriculture by Itility. The challenge was to classify the species of plants from the images.

She wrote about it in the Deep Learning Blog, so I’ll let you read the details there.


Let us know what you think here or leave a comment for Paola.

Published with MATLAB® R2019a

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