purvit-vashishtha / digit-recognizer-app

App for MNIST Data using GitHub Pages.

Structure of App

keras - > Tensorflow.js ->(html + css + javascript)->github pages

Aim:

To make a convolution neural network to recognise handwritten digits by training the model on MNIST dataset available in keras.

MNIST DATASET:

The training dataset contain 60000 images and testing contain 10000 images. Each image is 28x28 pixel and grey scale.

CNN MODEL OVERVIEW:

⚈ It is a 17 layer model with Conv2D,MaxPooling2D,BatchNormalization,Dense,Flatten and Dropout layer combination.

⚈ Input layer has 32 neuron and output layer has 10 neurons as 10 different clases exsist.

⚈ 30 epochs are used.

⚈ Categorical_loss is loss function and adam is used for optimization.

⚈ Model gives 99.15% accuracy.

For Deployment:

Save model using tensorflowjs converters as json file and weight as .h5 file.Use Tensorflow.js to load model and predict in javascript file.