CST 499 - Week 5
Hey everyone, This week, I made meaningful progress in both understanding deep learning concepts and building practical skills with the fastai workflow. I learned that modern deep learning makes tasks possible that were extremely difficult before 2015, such as distinguishing bird photos from forest photos with relatively little code and training time. I also developed a much clearer picture of what images are to computers: numerical pixel data that can be downloaded, resized, organized, cleaned, and fed into models. I learned how to search for and download images, organize them into folders, resize them, detect broken files, and remove problematic images. I also learned how to use DataBlock and DataLoaders to prepare training data, how to display batches of images to verify the dataset, and how to fine-tune a pretrained model locally to classify images. On top of that, I deepened my understanding of key deep learning ideas such as models, weights, loss functions, gradients, lear...