This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be used to create applications like chat-bot, virtual assistant, speech-to-text or ...

Neural networks are a powerful tool for modeling neural activity in the brain. In this talk, I will discuss how these models have helped in my own research and highlight recent work building neural ...

Coding a neural network from scratch allows you to fully understand exactly what's going on, and allows you to experiment with the code. The downside is the extra time and effort required. Listing 1: ...

Yihan Wang, Qian-Quan Sun. A long-range, recurrent neuronal network linking the emotion regions with the somatic motor cortex. Cell Reports, 2021; 36 (12): 109733 DOI: 10.1016/j.celrep.2021.109733 ...

While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence.

This study presents valuable computational findings on the neural basis of learning new motor memories and the savings using recurrent neural networks. The evidence supporting the claims of the ...