Reading

• An Intuitive Explanation of Convolutional Neural Networks by Ujjwal Karn
• Exploring and Visualizing an Open Global Dataset by Google Research
• In class, doodlenet: https://editor.p5js.org/yining/sketches/mK5iYrzns

Data Research

In preparation for next Thursday's class, find a dataset that interests you! Here are some places to get started:

• Something you find online. For example, take a look at Kaggle, awesome datasets or this list of datasets.
• Find a dataset that you collect yourself or is already being collected about you. For example, personal data like steps taken per day, browser history, minutes spent on your mobile device, sensor readings, and more.

Post a link to the dataset that interests you on the homework wiki. (I would also suggest taking a peek at the instructions for assignment 5b in next week's material).

Datasets

glass classification: https://www.kaggle.com/datasets/uciml/glass/data

diabetic retinopathy: https://www.kaggle.com/datasets/tanlikesmath/diabetic-retinopathy-resized/data

surface crack: https://www.kaggle.com/datasets/arunrk7/surface-crack-detection?select=Negative

captcha images: https://www.kaggle.com/datasets/fournierp/captcha-version-2-images?select=samples

chest x-ray: https://www.kaggle.com/datasets/tolgadincer/labeled-chest-xray-images

speech: https://www.kaggle.com/datasets/mathurinache/the-lj-speech-dataset?select=LJSpeech-1.1

annotated potholes: https://www.kaggle.com/datasets/chitholian/annotated-potholes-dataset

environmental sound: https://www.kaggle.com/datasets/mmoreaux/environmental-sound-classification-50

text ocr: https://www.kaggle.com/datasets/robikscube/textocr-text-extraction-from-images-dataset