Elbow Torque Prediction From BMI Data Using Deep Learning
- Technologies: Python, TensorFlow, Keras, SLURM
- Engineered a deep learning model to predict elbow torque from body movement and neural data, employing Python, TensorFlow, and Keras
- The project involved rigorous hyper-parameter optimization and the application of dropout and Lx regularization techniques to enhance model accuracy
- Managed large-scale data processing and experiment execution using SLURM, demonstrating proficiency in handling complex datasets and computational tasks.