Explore >> Select a destination
|
You are here 
|
algobeans.com | ||
| | | | |
www.analyticsvidhya.com
|
|
| | | | | Explore convolutional neural networks in this course. Learn foundational concepts, advanced models, and applications like face recognition. | |
| | | | |
programminghistorian.org
|
|
| | | | | [AI summary] The text provides an in-depth explanation of using neural networks for image classification, focusing on the Teachable Machine and ml5.js tools. It walks through creating a model, testing it with an image, and displaying results on a canvas. The text also discusses the limitations of the model, the importance of training data, and suggests further resources for learning machine learning. | |
| | | | |
michael-lewis.com
|
|
| | | | | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background. | |
| | | | |
charleslabs.fr
|
|
| | | Apply complex mathematical operations with machine learning in digital signal processing. Check out two artificial neural network experiments here. | ||
