Welcome to Alex Palmer's portfolio. Below you will find a small sample of projects he has worked on. For more information about Alex, as well as additional projects, please refer to his resume.
Artificial Neural Network trained on the MNIST training set. When tested on the MNIST test set the network had a 97.34% accuracy. It needs tuning as it is less accurate using digits from the canvas.
Upon hitting submit it sends the image as a XMLHttpRequest. This image is then scanned for black pixels, marking each pixel as viewed as they are checked. Upon finding a black pixel, a depth first search is run to find every connected black pixel. Note: this presents a problem with disconnected digits being read as separate. It then resizes these digits so their largest dimension is 20 pixels. Finally, it inverts the image to match the format of MNIST (white on black) and centers by weight on a 28x28 black background. It passes these images through a neural network and returns a string of each digit ordered by where their leftmost point is.Todo:
Includes a basic and growing list of basic data structures. Currently only includes a doubly linked list, Trie and Binary Search Tree.