Unlocking the Potential of Convolutional Neural Networks
In the world of neural networks, there's a lot of talk about how to make them better. One big issue is the back-propagation algorithm. It's been around for a while, but it has some problems. It can overfit data, which means it learns the noise instead of the actual pattern. It can also have vanishin