Attention Mechanism Vision Transformer for Satellite Image Classification in Tensorflow from Scratch

In this video, You will learn how to implement vision transformer architecture for satellite image classification step by step in the simplest way and from scratch. In this video, we use the EuroSat benchmark dataset for satellite image classification using vision transformer. We will explain how to prepare the dataset and how to use it for this task.
Vision Transformer or ViT is a transformer model introduced by Google Brain in 2020. This novel model uses an attention mechanism particularly the self-attention mechanism in its architecture.
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The EuroSat dataset can be found in the following link:
github.com/phe...
The code examples are available on our GitHub page:
github.com/BEE...
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0:39 EuroSat Benchmark Dataset Download
1:17 Data Preparation
7:02 Vision Transformer Architecture
8:15 Vision Transformer Implementation in Tensorflow

[@RonakKhandelwal-sn4im]

Where do I visualise the output?

[@BEEiLabTV]

You need to first predict using the trained model.

[@kulsoompanhwar190]

I need help in this feild

[@BEEiLabTV]

What is your problem?

[@kulsoompanhwar190]

@@BEEiLabTV Im working on landsat image and want to apply deep learinf model to for 5 level of classification