cnn lstm mnist mnist-handwriting-recognition python rnn

mnist-classification

Generating two-digit images out of mnist dataset and then using CNN, CNN-LSTM models to classify them

Description

In this project, I went through several steps including generating two-digit sequences of images and also implementing several models to classifiy them The required steps for this project are as follows:
1- generating a two-digit mnist dataset ( to classifiy images into 11 classes (mnist has 10 classes and blank class)
2- implementing a CNN model (custom-model-with-batchnormalization)
3- implementing a CNN-LSTM model

To get an overview of the models' architecture, I have included the model visualizations in the Images folder. Needless to say, I visualized my models using Netron which is a viewer for neural networks.