ankitkumar9018/raman-cnn

Neural network classifier for Raman spectral data using TensorFlow

Raman Classifier

Classifies Raman spectra using TensorFlow and Keras. This is an old project that is being given a new lease of life so please point any old mistakes / bad practices as an issue.

At the moment, it doesn't even save the model trained, but will hoefully be improved in

Installation

1. git clone https://github.com/rjkilpatrick/raman-cnn/
2. jupyter notebook raman-cnn

Technologies

• Python, created in 3.7.4, >= 3.4 should work
• Git, using Gitmoji style commits
• PyTorch

Project staus

The current implementation, uses a four layer densely connected neural network. The layer sizes were chosen as random powers of two and was ill-informed. In future, this will be moved to a convolutional style neural network.

The accuracy of the model is 90.7%. This is on a small dataset with no data augmentation with a shared training/validation set.

License

The dataset is taken from https://www.kaggle.com/andriitrelin/cells-raman-spectra/activity, licensed under under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.

All code is (c) John Kilpatrick under the MIT license.