Convolutional Neural Network created using Keras with tensorflow backend. This neural network is used to predict which digit is on a photo.
Google's SVHN was used to train this model.
Input to the model is a 32x32 image conataining one digit.
Model uses Conv2D layers, along with Dropuot, MaxPooling2D, Flatten and dense layers to categorize photos into categories each representing one digit.
Models output is a digit from 0 to 9 which represents the digit recognized on the photo
| Accuracy | 94% |
|---|---|
| Recall | 93% |
| Precision | 93% |
| F1 Score | 94% |
