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A workshop taught in 2023 for NASA SERVIR, ACCA, and members of other environmental organizations in South America

Home Page: https://developmentseed.org/tensorflow-eo-training-2/

License: Apache License 2.0

Shell 0.01% JavaScript 0.27% Python 0.13% CSS 0.34% TeX 0.01% Makefile 0.01% HTML 9.79% HCL 0.02% Jupyter Notebook 89.43%

tensorflow-eo-training-2's Introduction

Deep Learning with TensorFlow and EO Data

Complete file set for Jupyter Book

Autor: Development Seed

Date: 10 July 2023

ISBN: (to come)

Notebook tutorials demonstrating advanced techniques for use of deep learning with TensorFlow 2.x and earth observation data.

This is a "part 2" to https://developmentseed.org/tensorflow-eo-training/docs/index.html, with updates focused on the use of TensorFlow 2.x and thetf.keras API as well as updated content on state of the art deep learning algorithms and techniques.

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.org/tensorflow-eo-training-2/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:

tensorflow-eo-training-2's People

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lillythomas avatar rbavery avatar

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