Create README.md

README.md

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+---
+tags:
+- computer-vision
+- image-classification
+license:
+- cc0-1.0
+library_name: keras
+---
+
+## Image Classification using MobileViT
+This repo contains the model and the notebook [to this Keras example on MobileViT](https://keras.io/examples/vision/mobilevit/).
+
+Full credits to: [Sayak Paul](https://twitter.com/RisingSayak)
+
+## Background Information 
+MobileViT architecture (Mehta et al.), combines the benefits of Transformers (Vaswani et al.) and convolutions. With Transformers, we can capture long-range dependencies that result in global representations. With convolutions, we can capture spatial relationships that model locality.
+
+Besides combining the properties of Transformers and convolutions, the authors introduce MobileViT as a general-purpose mobile-friendly backbone for different image recognition tasks. Their findings suggest that, performance-wise, MobileViT is better than other models with the same or higher complexity (MobileNetV3, for example), while being efficient on mobile devices.  
+
+## Training Data
+The model is trained on a [tf_flowers dataset](https://www.tensorflow.org/datasets/catalog/tf_flowers)