Hi everyone! I’m a first time fast.ai student and decided to tackle lesson 1’s homework assignment utilizing fastai version 1.0
Quick background, I began programming a few months ago (front-end web development) but have always wanted to dive into Deep Learning.
If it wasn’t for Fastai’s course, I would have continued learning the theory behind neural networks without any practical application.
So, after taking lesson one I decided to build this simple image classifier.
The beginning of the notebook shows how to download images from google via google-images-download. Along with how to clean some of the data before putting it through the model.
Would love to hear your feedback! And, hopefully this can help out others who want to tackle image classification using google images.
This run’s on Google Colab (Free GPU)