Backpropagation is a class of random search algorithms

This is evident when watching networks learn using my visualisation program. The backpropagation algorithm creates spontaneous types of patterns which are put into or scuplted into the network briefely or for some period, and then there is a random shift to a new concept with a new pattern for its own breifity. This process repeatsContinue reading “Backpropagation is a class of random search algorithms”

Visualizing network training

Here is a video of where my project is at, Basically, it provides a graphical visualization of the network weights. I am going to experiment with generating and examining this sort of image through training. In this video, the network is training on six problems, and it slowly learns for about 45 seconds. After that,Continue reading “Visualizing network training”