godspeed1989 / image-classification-rnn

Classify MNIST image dataset into 10 classes. Build an image classifier with Recurrent Neural Network (RNN: LSTM) on Tensorflow.

Project: Build an Image Classifier with RNN(LSTM) on Tensorflow

Highlights:

• This is a multi-class image classification problem.
• The purpose of this project is to classify MNIST image dataset into 10 classes.
• The model was built with Recurrent Neural Network (RNN: LSTM) on Tensorflow.

Data:

• The MNIST image dataset was saved in the ./data/ directory.

Train:

• Command: python3 train.py parameters.json
• Example: python3 train.py ./parameters.json

A directory will be created during training, and the model will be saved in this directory.

Predict:

Provide the model directory (created when running train.py) to predict.py.

• Command: python3 predict.py ./trained_model_directory/
• Example: python3 predict.py ./trained_model_xxxxxxxxxx/

Reference:

• Recurrent Neural Network