Classification

Now that I had a drawable grid, i converted that grid to a pytorch tensor, that I plugged into my MNIST classifer that I made 2 devlogs ago, to create an AI number guesser! Honestly, while it does ocassionally slip up and make a few mistakes, especially confusing 7s and 2s and 6s and 0s, it is amazing!

I created a pygame grid that you can draw on, left click to add, right click to remove.

Using my knoeledge on classification I created a convolutional neural network classifier on the Mnist numbers dataset:

I followed learn pytorch to make my first Convolutional Neural Network in pytorch! I have it sucessfully trained on the black and white mnist fashion dataset so it can identify fashion objects. Now I think I have enough foundations to build my final classification project.

I tried to make a classifier on skit-learns moon dataset that creates 2 classes of blobs in a cresent shape. Using my knowledge on how to create a binary classifer with ReLu and Binary cross entropy loss, I created a classifier that sucessful ‘solved’ the toy dataset. After completing this, I began to work on learnpytorch’s Computer vision module. My vision is to use my knowledge of computer vision and classification to build an interactive CNN visualiser.

I made my first working classifier in pytorch with 0 training loss!

I am following learnpytorch.io’s code to create a simple binary classifier. It seems that I have a long way to go.