Deep learning with TensorFlow and earth observation data.

Overview

Deep Learning with TensorFlow and EO Data

Complete file set for Jupyter Book

Autor: Development Seed

Date: 04 October 2021

ISBN: (to come)

Notebook tutorials demonstrating advanced techniques for use of deep learning with TensorFlow and earth observation data.

How to run the executable book code:

A major advantage of executable books is that the reader may enjoy running the source codes himself, modifying them and playing around. No downloading, installation or configuration are required. Simply go to

https://developmentseed.github.io/tensorflow-eo-training/docs/index.html,

and in the left menu select any chapter below the Introduction, click the "rocket" icon at the top right of the screen, and choose "Colab".

Links:

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

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Projects of Andfun Yangon

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Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021

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