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_1481170507/
Reference:
