Machine Learning Research

Conducted research on various optimization techniques for convolutional neural networks in image classification tasks. Compared different optimizers including SGD, Adam, and RMSprop on the CIFAR-10 dataset.

Research highlights:

• Implemented custom CNN architectures
• Comparative analysis of optimization algorithms
• Achieved 85% accuracy on CIFAR-10
• Published findings in university journal