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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Recurrent Neural Network

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University of Colorado Boulder
Machine Learning: Theory and Hands-on Practice with Python
Skills you'll gain: Machine Learning, Statistical Machine Learning, Machine Learning Algorithms, Probability & Statistics, Python Programming, Statistical Programming, Regression, Deep Learning, Data Analysis, Artificial Neural Networks, Applied Machine Learning, Correlation And Dependence, Statistical Analysis, Statistical Tests, Exploratory Data Analysis, Algorithms, Reinforcement Learning, Theoretical Computer Science, Basic Descriptive Statistics, Data Mining, Feature Engineering, General Statistics, Natural Language Processing, Computer Programming, Data Management, Data Structures, Dimensionality Reduction
3.0
(30 reviews)
Intermediate · Specialization · 3-6 Months
IBM Skills Network
IBM AI Engineering
Skills you'll gain: Machine Learning, Computer Programming, Python Programming, Computer Vision, Deep Learning, Statistical Programming, Artificial Neural Networks, Machine Learning Algorithms, Probability & Statistics, General Statistics, Regression, Applied Machine Learning, Apache, Data Management, Data Mining, Data Analysis, Statistical Analysis, Big Data, Algorithms, Theoretical Computer Science, Statistical Machine Learning, Computer Graphics, Dimensionality Reduction, Tensorflow, Computer Graphic Techniques, Basic Descriptive Statistics, Business Analysis, Correlation And Dependence, Databases, Mathematics, NoSQL, SQL, Econometrics, Estimation, Entrepreneurship, Machine Learning Software, Probability Distribution, Data Science, Data Structures, IBM Cloud, Supply Chain Systems, Supply Chain and Logistics
4.6
(16k reviews)
Intermediate · Professional Certificate · 3-6 Months
DeepLearning.AI
Sequences, Time Series and Prediction
Skills you'll gain: Machine Learning, Deep Learning, Artificial Neural Networks, Data Science, Forecasting, General Statistics, Probability & Statistics, Tensorflow, Communication, Marketing, Python Programming, Statistical Programming, Applied Machine Learning, Computer Vision, Data Visualization, Computer Programming
4.7
(4.7k reviews)
Intermediate · Course · 1-4 Weeks
Free
University of Washington
Computational Neuroscience
Skills you'll gain: Data Science, Machine Learning, Artificial Neural Networks, Python Programming, Statistical Programming, Matlab, Reinforcement Learning, Business Psychology, Communication, Computer Networking, Computer Programming, Data Analysis, Data Analysis Software, Deep Learning, Entrepreneurship, General Statistics, Linear Algebra, Machine Learning Algorithms, Mathematics, Network Model, Probability & Statistics, Probability Distribution
4.6
(1k reviews)
Beginner · Course · 1-3 Months

Searches related to recurrent neural network

simple recurrent neural network with keras

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

Deep learning in Electronic Health Records - CDSS 2: University of Glasgow
Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
Informed Clinical Decision Making using Deep Learning: University of Glasgow
IBM AI Engineering: IBM Skills Network
Sequences, Time Series and Prediction: DeepLearning.AI
Introduction to Deep Learning & Neural Networks with Keras: IBM Skills Network
Building Deep Learning Models with TensorFlow: IBM Skills Network
An Introduction to Practical Deep Learning: Intel
Deep Learning Methods for Healthcare: University of Illinois at Urbana-Champaign
Deep Learning and Reinforcement Learning: IBM Skills 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.

Filter by

58 results for "recurrent neural network"

Deep learning in Electronic Health Records - CDSS 2

Machine Learning: Theory and Hands-on Practice with Python

Informed Clinical Decision Making using Deep Learning

IBM AI Engineering

Sequences, Time Series and Prediction

Introduction to Deep Learning & Neural Networks with Keras

Building Deep Learning Models with TensorFlow

An Introduction to Practical Deep Learning

Deep Learning Methods for Healthcare

Deep Learning and Reinforcement Learning

Build Decision Trees, SVMs, and Artificial Neural Networks

Computational Neuroscience

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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58 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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