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.

What are the benefits of taking an online Recurrent Neural Network course?

Online Recurrent Neural Network courses offer a convenient and flexible way to enhance your knowledge or learn new Recurrent Neural Network skills. Choose from a wide range of Recurrent Neural Network courses offered by top universities and industry leaders tailored to various skill levels.

What Recurrent Neural Network courses are best for training and upskilling employees or the workforce?

When looking to enhance your workforce's skills in Recurrent Neural Network, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here .

Top Recurrent Neural Network Courses - Learn Recurrent Neural Network Online

Explore the Recurrent Neural Network Course Catalog

Status: New
Board Infinity
Effective Code Review Practices
Skills you'll gain: Test Automation, Test Tools, Code Review, Software Testing, Continuous Integration, Scripting, CI/CD, Software Technical Review, Regression Testing, Test Planning, Maintainability, Test Case, Scalability, Version Control
Advanced · Course · 1 - 4 Weeks
Status: New
Board Infinity
Salesforce Omnistudio
Skills you'll gain: Spring Framework, Scalability, Software Architecture, Maintainability, Java, Dependency Analysis, Software Design, Software Design Patterns, Java Platform Enterprise Edition (J2EE), Object Oriented Programming (OOP), Programming Principles
Intermediate · Course · 1 - 4 Weeks
Google Cloud
Building Resilient Streaming Analytics Systems on GC - 한국어
Skills you'll gain: Data Pipelines, Google Cloud Platform, Real Time Data, Data Processing, Big Data, Analytics, Cloud Computing, Performance Tuning, Scalability
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Industrial Internet of Things Graduate Certificate
Skills you'll gain: Machine Learning Algorithms, Big Data, User Research, User Experience Design, User Experience, Power Electronics, User Interface and User Experience (UI/UX) Design, Usability, Internet Of Things, Verification And Validation, Analytics, Embedded Systems, Persona (User Experience), Failure Analysis, File Systems, Usability Testing, User Centered Design, Process Control, Machine Controls, Embedded Software
Credit offered
Graduate Certificate · 6 - 12 Months
Imperial College London
Master of Science in Machine Learning and Data Science
Skills you'll gain: Supervised Learning, Data Ethics, Unsupervised Learning, Exploratory Data Analysis, PySpark, Bayesian Statistics, Ggplot2, Dimensionality Reduction, Linear Algebra, Big Data, Anomaly Detection, Data Analysis, Data Visualization, A/B Testing, Data Transformation, Deep Learning, Unstructured Data, Data Pipelines, Applied Machine Learning, Learning Strategies
Earn a degree
Degree · 1 - 4 Years
University of London
Master of Science in Cyber Security
Skills you'll gain: Security Management, Key Management, Human Factors (Security), Infrastructure Security, Information Privacy, Cyber Governance, Cryptography, Application Security, Network Security, Threat Modeling, OSI Models, Security Testing, Cyber Security Policies, Intrusion Detection and Prevention, Cyber Security Strategy, Authorization (Computing), Security Awareness, Data Collection, Criminal Investigation and Forensics, Data Analysis
Earn a degree
Degree · 1 - 4 Years
Pontificia Universidad Católica de Chile
Magíster en Business Analytics
Skills you'll gain: Revenue Management, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Cloud Security, Network Model, Assertiveness, Web Scraping, Governance, Business Process Modeling
Earn a degree
Degree · 1 - 4 Years
Status: New
Packt
Scaling, Access Control, and Exam preparation with Vault
Skills you'll gain: Identity and Access Management, Scalability, Authorization (Computing), Performance Tuning, Authentications, Role-Based Access Control (RBAC), Security Controls, Cyber Security Policies, Configuration Management, Systems Integration
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Power Electronics Graduate Certificate
Skills you'll gain: Power Electronics, Debugging, Tensorflow, Computer Vision, Display Devices, Computer Displays, Image Analysis, Semiconductors, Engineering Documentation, Electronic Systems, Systems Design, Artificial Neural Networks, Applied Machine Learning, Electrical Engineering, USB, Software Design Documents, Computer Programming Tools, Technical Design, Test Engineering, Deep Learning
Credit offered
Graduate Certificate · 6 - 12 Months
Pontificia Universidad Católica de Chile
Magíster en Ciencia de Datos
Skills you'll gain: Revenue Management, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Database Design, People Analytics, Time Series Analysis and Forecasting, Biostatistics, Predictive Analytics, Statistical Reporting, Unsupervised Learning, Digital Transformation, Deep Learning, Risk Analysis, Bayesian Statistics, Exploratory Data Analysis, Cloud Security, Network Model, Assertiveness
Earn a degree
Degree · 1 - 4 Years
University of Michigan
Master of Applied Data Science
Skills you'll gain: Data Ethics, Data Storytelling, Database Design, Reinforcement Learning, Supervised Learning, Experimentation, PySpark, Interactive Data Visualization, Generative AI, Pandas (Python Package), Network Analysis, Deep Learning, Applied Machine Learning, Cloud Services, Database Management, Natural Language Processing, JSON, Data Mining, Qualitative Research, Data Visualization
Earn a degree
Degree · 1 - 4 Years
Universidad de los Andes
Analítica de datos: visualización, predicción y toma de decisiones Certificado MasterTrack®
Skills you'll gain: Network Analysis, Data Storytelling, Predictive Modeling, Marketing Analytics, Cash Flows, Matplotlib, Financial Data, Financial Statement Analysis, Portfolio Management, Data Cleansing, Advertising, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Data Visualization, Random Forest Algorithm, Operations Research, Natural Language Processing, Mathematical Modeling, Systems Analysis
Credit offered
Mastertrack · 6 - 12 Months