Train classifier using GANs and EEG data
Budget: $50 – $125 USD
Hello dear freelancers,
1) Train machine learning classifier on the following kaggle dataset: https://www.kaggle.com/birdy654/eeg-brainwave-dataset-feeling-emotions
2) Train 3 types of GANS to generate the EEG data and train a machine learning classifier
3) Analyse the improvements in accuracy of each classifier on the same dataset using the GAN-pretrained classifier
Deliverables:
- Train classifier and record performance accuracy (Can follow notebooks on Kaggle).
- Train DCGAN, WGAN and SGAN to generate EEG data and record kl-divergence
- Train classifier on augmented dataset (real+training), and dataset of just generated data, and record accuracy of classifier
Bugdet is flexible, looking forward to work with someone in long-term
1) Train machine learning classifier on the following kaggle dataset: https://www.kaggle.com/birdy654/eeg-brainwave-dataset-feeling-emotions
2) Train 3 types of GANS to generate the EEG data and train a machine learning classifier
3) Analyse the improvements in accuracy of each classifier on the same dataset using the GAN-pretrained classifier
Deliverables:
- Train classifier and record performance accuracy (Can follow notebooks on Kaggle).
- Train DCGAN, WGAN and SGAN to generate EEG data and record kl-divergence
- Train classifier on augmented dataset (real+training), and dataset of just generated data, and record accuracy of classifier
Bugdet is flexible, looking forward to work with someone in long-term