Recurrent Neural Networks

Explained: Recurrent Neural Networks

Analytics Vidhya

Recurrent Neural Networks are specialized neural networks designed specifically for data available in form of sequence. Few examples of sequence data could be text data such as tweets or comments…

Three Types of Recurrent Neural Networks

Towards AI

Recurrent Neural Networks are neural networks designed for sequence data. Sequence data is any data that comes in a form in which former data points affect later data points. RNNs can be applied to…

Recurrent Neural Networks, Explained and Visualized from the Ground Up

Towards Data Science

Recurrent Neural Networks (RNNs) are neural networks that can operate sequentially. Although they’re not as popular as they were even just several years ago, they represent an important development…

The Simplest Interesting (and Useful) Recurrent Neural Network

Towards Data Science

A recurrent neural network (RNN) processes an input sequence arriving as a stream. It maintains state, i.e. memory. This captures whatever it has seen in the input to this point that it deems…

Towards Data Science

The goal of this article is to explore Recurrent Neural Networks in-depth, which are a kind of Neural Networks with a different architecture than the ones seen in previous articles (Link). As we have…...

The Basics of Recurrent Neural Networks (RNNs)

Towards AI

Recurrent Neural Networks (RNNs) are widely used for data with some kind of sequential structure. For instance, time series data has an intrinsic ordering based on time. Sentences are also…

What are Recurrent Neural Networks: 7 Fascinating Facts You Should Know

Level Up Coding

Introduction: Understanding Recurrent Neural Networks (RNNs) Recurrent Neural Networks (RNNs) play a significant role in the field of machine learning, particularly in processing sequential data. The...

Recurrent Neural Networks for Dummies

Towards AI

Recurrent Neural Networks(RNN) lies under the umbrella of Deep Learning. They are utilized in operations involving Natural Language Processing. Nowadays since the range of AI is expanding enormously…

The Intuition of Vanilla Recurrent Neural Networks

Level Up Coding

Recurrent Neural Networks are neural networks that are specialized in modeling sequence data. Essentially RNNs are designed to capture information from time sequences and time-series data. Well, we…

Getting Started with Recurrent Neural Network (RNNs)

Towards Data Science

Using RNNs for Sentiment Analysis Photo by Nishaan Ahmed from Unsplash This article will discuss a separate set of networks known as Recurrent Neural Networks(RNNs) built to solve sequence or time se...

Modern Recurrent Neural Networks

Dive intro Deep Learning Book

The previous chapter introduced the key ideas behind recurrent neural networks (RNNs). However, just as with convolutional neural networks, there has been a tremendous amount of innovation in RNN arch...

A Brief Introduction to Recurrent Neural Networks

Towards Data Science

An introduction to RNN, LSTM, and GRU and their implementation RNN, LSTM, and GRU cells. If you want to make predictions on sequential or time series data (e.g., text, audio, etc.) traditional neural...