Explore >> Select a destination
|
You are here 
|
colah.github.io | ||
| | | | |
saturncloud.io
|
|
| | | | | Artificial Intelligence has been witnessing monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision. | |
| | | | |
petewarden.com
|
|
| | | | | Photo by Anthony Catalano I spend most of my time worrying about how to make deep learning with neural networks faster and more power efficient. In practice that means focusing on a function called GEMM. It's part of the BLAS (Basic Linear Algebra Subprograms) library that was first created in 1979, and until I started... | |
| | | | |
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. | |
| | | | |
www.analyticsvidhya.com
|
|
| | | Explore questions on Deep Learning which every data scientist should know. Answer these questions on neural networks and deep learning. | ||
