Deep learning with TensorFlow and earth observation data.

Related tags

Deep Learning tensorflow-eo-training
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:

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Comments
  • Dimensions swapped in Lesson 2a

    Dimensions swapped in Lesson 2a

    There's a small error in Lesson 2a.

    rgb = rgb.transpose(2, 1, 0)

    This inadvertently swaps the x and y dimensions of the image when it should just swap the channel dimension to the first axis. You can compare the shape of rgb with mosaic to confirm.

    >>> mosaic.shape
(5, 8192, 4096)

>>> rgb.shape
(3, 4096, 8192)

    The code below works as expected.

    rgb = rgb.transpose(2, 0, 1)

    >>> mosaic.shape
(5, 8192, 4096)

>>> rgb.shape
(3, 8192, 4096)

    Thanks for the great tutorial series!

    opened by aazuspan 1
Owner
Development Seed
Development Seed
GitHub https://developmentseed.org/tensorflow-eo-training/docs/index.html
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