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!
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!
MIT License