Deep Learning for Biologists with Keras
A collection of Google Colab tutorials teaching biologists how to apply deep learning with Keras to real-world biological and agricultural problems.
What is Deep Learning for Biologists with Keras?
Deep Learning for Biologists with Keras is a tutorial collection that teaches biologists and agricultural researchers how to implement deep learning models using Keras. It focuses on practical, biological applications like image classification of rice seeds, flower species, and yeast protein localization, as well as semantic segmentation for crop/weed detection. The tutorials are designed to run entirely in Google Colab, providing an accessible GPU-powered learning environment without local setup.
Biologists, agricultural scientists, and plant researchers with little to no prior deep learning experience who want to apply these techniques to real-world biological data. It's also suitable for educators looking for domain-specific teaching materials.
Unlike generic deep learning tutorials, this project provides immediately relevant examples using real biological datasets, lowering the barrier for life scientists to adopt deep learning. The exclusive use of Keras and Google Colab ensures a consistent, beginner-friendly experience with no local installation required.
Overview
tutorials made for biologists to learn deep learning
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