Keeyon Ebrahimi walks through how neural networks actually work, and what we did before neural networks. A convolutional neural network is a series of layers which each takes an input and produces an output. Keeyon describes the convolutional layer, the pooling layer, and the fully-connected layer. Keeyon works for Clarifai, a company that uses neural networks to support its computer vision API. | DEV Community

Explain the following concept with examples: Rural Community - Sociology | Shaalaa.com

A sense of community: Why it's important and how to cultivate it