CDI DL WORKSHOP

A collection of jupyter notebooks for workshops on image classification and recognition using deep transfer learning

Written by Dr Daniel Buscombe Northern Arizona University daniel.buscombe@nau.edu

This workshop was prepared for the "MAPPING LAND-USE, HAZARD VULNERABILITY AND HABITAT SUITABILITY USING DEEP NEURAL NETWORKS" project, funded by the U.S. Geological Survey Community for Data Integration, 2018

Thanks: Jenna Brown, Paul Grams, Leslie Hsu, Andy Ritchie, Chris Sherwood, Rich Signell, Jon Warrick

These materials work in conjunction with the dl_tools library

Clone the repo:

git clone https://github.com/dbuscombe-usgs/cdi_dl_workshop.git

Installation

conda env create -f tf_env.yml  
conda activate dl_tools

Launch the jupyter kernel

jupyter notebook

The notebooks are visible on localhost through a web browser