What is a recurrent neural network?

A recurrent neural network is a type of computer network that follows a sequence of logic to reach a conclusion. It's designed to mimic the thought process of the human brain. Recurrent neural networks can be used to classify data to build sequences, time series, and predictions. They're a component of artificial intelligence and machine learning.

Why is it important to learn about recurrent neural networks?

It's important to learn about recurrent neural networks since they have many uses in computer programming. In particular, you can use deep learning and artificial intelligence to produce predictive results used to solve scientific and business problems ranging from identifying new drug compounds to building sales forecasts. You can utilize recurrent neural networks to identify emotions in tweets, analyze business data, or develop statistics. Recurrent neural networks can help you to manage data problems such as natural language processing, correcting data errors, handling missing entries, and extracting information from small data sets. The technology has a great deal of power, so people who know how to use it properly are in demand.

How can online courses on Coursera help me learn about recurrent neural networks?

Online courses on Coursera can help you learn about recurrent neural networks in several languages and for many different uses. Classes cover TensorFlow, Keras, and natural language processing. Some emphasize theories. Others look at recurrent neural networks as part of other computer science disciplines like artificial intelligence or deep learning. Courses are offered at beginner, intermediate, and advanced levels. Most courses have projects to apply what you learn. Some lead to Professional Certificates and Specializations. Guided Projects are offered to help you demonstrate your current level of understanding.

What skills or experience do I need to already have, before starting to learn about recurrent neural networks?

Before starting to learn about recurrent neural networks, it is helpful to have a basic understanding of computers and programming. Even at a beginner level, some courses assume that you understand the basics of Python. Some courses offer a general introduction to artificial intelligence and machine learning, including the concepts of recurrent neural networks, and do not call for programming or computing skills.

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Skills you'll gain: Deep Learning, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Machine Learning Algorithms, Linear Algebra, Applied Machine Learning, Statistical Machine Learning, Dimensionality Reduction, Feature Engineering, Probability & Statistics, Business Psychology, Entrepreneurship, Machine Learning Software, Computer Vision, Marketing, General Statistics, Natural Language Processing, Computer Programming, Leadership and Management, Project Management, Regression, Sales, Strategy, Strategy and Operations, Tensorflow, Differential Equations, Mathematics, Applied Mathematics, Decision Making, Supply Chain Systems, Supply Chain and Logistics, Advertising, Communication, Estimation, Forecasting, Mathematical Theory & Analysis, Statistical Visualization, Algorithms, Theoretical Computer Science, Bayesian Statistics, Calculus, Probability Distribution, Statistical Tests, Big Data, Computer Architecture, Computer Networking, Data Management, Human Computer Interaction, Network Architecture, User Experience, Algebra, Computational Logic, Computer Graphic Techniques, Computer Graphics, Data Structures, Data Visualization, Hardware Design, Interactive Design, Markov Model, Network Model
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DeepLearning.AI
Sequence Models
Skills you'll gain: Artificial Neural Networks, Deep Learning, Machine Learning, Natural Language Processing, Applied Machine Learning, Dimensionality Reduction, Feature Engineering, Linear Algebra, Machine Learning Algorithms, Probability & Statistics, Python Programming, Statistical Machine Learning, Statistical Programming, Differential Equations, Advertising, Business Psychology, Communication, Entrepreneurship, Estimation, Forecasting, Marketing, Applied Mathematics, General Statistics, Tensorflow, Algorithms, Big Data, Data Management, Human Computer Interaction, Machine Learning Software, Theoretical Computer Science, User Experience, Computer Graphics, Interactive Design
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Natural Language Processing on Google Cloud
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simple recurrent neural network with keras

In summary, here are 10 of our most popular recurrent neural network courses

Simple Recurrent Neural Network with Keras: Coursera Project Network
Deep Learning: DeepLearning.AI
Sequence Models: DeepLearning.AI
Natural Language Processing with Sequence Models: DeepLearning.AI
Fundamentals of CNNs and RNNs: Sungkyunkwan University
Introduction to Deep Learning: University of Colorado Boulder
Natural Language Processing on Google Cloud: Google Cloud
Modeling Time Series and Sequential Data: SAS
Tweet Emotion Recognition with TensorFlow: Coursera Project Network
Create a Superhero Name Generator with TensorFlow: Coursera Project Network

Frequently Asked Questions about Recurrent Neural Network

It's important to learn about recurrent neural networks since they have many uses in computer programming. In particular, you can use deep learning and artificial intelligence to produce predictive results used to solve scientific and business problems ranging from identifying new drug compounds to building sales forecasts. You can utilize recurrent neural networks to identify emotions in tweets, analyze business data, or develop statistics. Recurrent neural networks can help you to manage data problems such as natural language processing, correcting data errors, handling missing entries, and extracting information from small data sets. The technology has a great deal of power, so people who know how to use it properly are in demand.‎
Online courses on Coursera can help you learn about recurrent neural networks in several languages and for many different uses. Classes cover TensorFlow, Keras, and natural language processing. Some emphasize theories. Others look at recurrent neural networks as part of other computer science disciplines like artificial intelligence or deep learning. Courses are offered at beginner, intermediate, and advanced levels. Most courses have projects to apply what you learn. Some lead to Professional Certificates and Specializations. Guided Projects are offered to help you demonstrate your current level of understanding.‎
Before starting to learn about recurrent neural networks, it is helpful to have a basic understanding of computers and programming. Even at a beginner level, some courses assume that you understand the basics of Python. Some courses offer a general introduction to artificial intelligence and machine learning, including the concepts of recurrent neural networks, and do not call for programming or computing skills.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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57 results for "recurrent neural network"

Simple Recurrent Neural Network with Keras

Deep Learning

Sequence Models

Natural Language Processing with Sequence Models

Fundamentals of CNNs and RNNs

Introduction to Deep Learning

Natural Language Processing on Google Cloud

Modeling Time Series and Sequential Data

Tweet Emotion Recognition with TensorFlow

Create a Superhero Name Generator with TensorFlow

Deep learning in Electronic Health Records - CDSS 2

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Searches related to recurrent neural network

In summary, here are 10 of our most popular recurrent neural network courses

Frequently Asked Questions about Recurrent Neural Network

What is a recurrent neural network?‎

Why is it important to learn about recurrent neural networks?‎

How can online courses on Coursera help me learn about recurrent neural networks?‎

What skills or experience do I need to already have, before starting to learn about recurrent neural networks?‎

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57 results for "recurrent neural network"

Searches related to recurrent neural network

In summary, here are 10 of our most popular recurrent neural network courses

Frequently Asked Questions about Recurrent Neural Network

What is a recurrent neural network?‎

Why is it important to learn about recurrent neural networks?‎

How can online courses on Coursera help me learn about recurrent neural networks?‎

What skills or experience do I need to already have, before starting to learn about recurrent neural networks?‎

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