/explore
|
You are here 
|
www.chrisritchie.org | ||
| | | | |
blog.cy.md
|
|
| | | | | [AI summary] The xkcd comic 'Digital Data' explores the challenges of archiving digital content, particularly focusing on identifying the highest quality version of images that have been repeatedly re-uploaded or re-compressed. The author discusses methods to detect degradation through techniques like analyzing compression artifacts, using machine learning models, and employing neural networks to evaluate image quality by comparing original and edited versions. The process involves generating training data with various transformations, addressing multiple issues through iterative improvements, and eventually achieving high accuracy in distinguishing between original and degraded images. | |
| | | | |
cprimozic.net
|
|
| | | | | Introduces a browser-based sandbox for building, training, visualizing, and experimenting with neural networks. Includes background information on the tool, usage information, technical implementation details, and a collection of observations and findings from using it myself. | |
| | | | |
www.asimovinstitute.org
|
|
| | | | | With new neural networkarchitectures popping up every now and then, its hard to keep track of them all. Knowing all the abbreviations being thrown around (DCIGN, BiLSTM, DCGAN, anyone?) can be a bit overwhelming at first. So I decided to compose a cheat sheet containingmany of thosearchitectures. Most of theseare neural networks, some are completely [] | |
| | | | |
algobeans.com
|
|
| | | While an artificial neural network could learn to recognize a cat on the left, it would not recognize the same cat if it appeared on the right. To solve this problem, we introduce convolutional neural networks. | ||
