Gertrude Wiredu

This researcher focuses on advancing our understanding of deep learning, neural networks, and reinforcement learning through rigorous theoretical analysis and empirical evaluation. Their work explores optimization techniques for training neural networks, the role of implicit regularization in preventing overfitting, and the intersection of convexity with non-convex optimization in neural network design.