updated the description

README.md

@@ -5,17 +5,17 @@ tags:
 - Architecture
 ---
 
-## Model description
+# Tensorflow Keras implementation of : [Image classification with ConvMixer](https://keras.io/examples/vision/convmixer/)
 
-More information needed
+The full credit goes to: [Sayak Paul](https://twitter.com/RisingSayak)
 
-## Intended uses & limitations
+## Short description:
 
-More information needed
+ConvMixer is a simple model based on the ideas of representing an image as patches( used in ViT) and separating the mixing of Spatial and channel dimensions (used in MLP-Mixer). Unlike ViT and MLP-Mixer, they use only standard Convolution operations. The full paper is a submission to ICLR 22 and can be found [here](https://openreview.net/pdf?id=TVHS5Y4dNvM)
 
-## Training and evaluation data
+## Model and Dataset used
 
-More information needed
+The Dataset used here is CIFAR-10. The model is called ConvMixer-256/8 where 256 is the hidden dimension (the dimension of patches) and 8 is the depth(number of repetitions of ConvMix layers)
 
 ## Training procedure