Deep Learning Intern
Current- Malaria Diagnosis Using Convolutional Neural Networks: Successfully applied machine learning to critical health problem, exceeding 93% accuracy on a dataset of 27,588 segmented cell images.
- Accomplished 95% accuracy on MNist sign language dataset utilizing deep learning models, processing and augmenting over 30,000 data samples, enhancing model training and validation performance using Python, Tensorflow.
- Conducted over 20 hyperparameter tuning experiments… Show more
- Conducted over 20 hyperparameter tuning experiments learning to a 20% improvement in model efficiency and performance.
- Communicated with a team of 5 other researchers, improving design upon receiving feedback. Show less