sairbarbaros/improving_neural_networks_performance

This repository helps you to improve the performance of your own neural networks. You can learn about implementing the algorithms like L2 and dropout regularization, optimization algorithms like adam and momentum, mini-batches, parameter initialization, and more! Take a look if you want to train your model to be faster and more accurate!

Barbaros Şair

Greetings from Istanbul, Turkey!

I am an university student interested in robotics, machine learning, and neuroscience.

I've been doing machine learning and deep learning projects on diverse topics. You can find them in my repos.

Currently, I study Electrical-Electronics Engineering in METU, one of the best technical universities in Türkiye in my major.

I work at METU Formula Racing as Computer Vision Developer. I develop object detection models for the self-driving car that we built.

Moreover, I have taken courses from Coursera to advance my knowledge in this topics. You can find my certificates in LinkedIn.

You can reach me from linkedin and mail: [email protected]