Multiclass Classification using Convolutional Neural Network
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The model predicts a given input image as a number from 0 to 5. The classifier has a test accuracy of 83%. In future the model can be extended to teach sign language. ...learn more
Project status: Published/In Market
Overview / Usage
The model can be used to classify images as number from 0 to 5.
In future the model can be extended to teach sign language.
Methodology / Approach
CNN structure : CONV2D -> RELU -> MAXPOOL -> CONV2D -> RELU -> MAXPOOL -> FLATTEN -> FULLYCONNECTED
Implemented in TensorFlow.
Technologies Used
TensorFLow
Python
Ipython