LULC Satellite Image Classification Using Deep Learning: How to Train a Deep Learning Model in Colab
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- Опубликовано: 13 июл 2024
- In this video, we will learn together how to train a deep learning model for land use land cover classification using Sentinel-2 satellite data.
The code examples are available on our GitHub page:
github.com/BEEILAB/LULC-Class...
The EuroSat dataset can be found in the following link:
github.com/phelber/eurosat#
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I love the way you explain things in your videos. So clear and easy to understand!
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Thank you for the insights.
Suppose I want to perform x-class classification using my own data, such as Sentinel-2. How do I modify this for my case?
I am a little confused here as to why you use binary cross entropy as the loss function because you are working on a multi-class classification dataset.
Yes, you are right. Here, we have two options. First, we can use sigmoid acrivation function with binary cross entropy and secondly, we can use softmax with categorical cross entropy.
@@BEEiLabTV oh. i got it and thanks for your response.