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: Free Trial
DeepLearning.AI
Deep Learning
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Machine Learning Algorithms, Linear Algebra
Build toward a degree
4.8
Rating, 4.8 out of 5 stars
147K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free Trial
DeepLearning.AI
Sequence Models
Skills you'll gain: Natural Language Processing, Generative AI, Artificial Neural Networks, Tensorflow, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Supervised Learning
4.8
Rating, 4.8 out of 5 stars
31K reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
EDUCBA
Deep Learning RNN & LSTM: Stock Price Prediction
Skills you'll gain: Data Processing, Data Transformation, Financial Forecasting, Feature Engineering, Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Pandas (Python Package), Tensorflow, Artificial Neural Networks, Matplotlib, NumPy
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
DeepLearning.AI
Natural Language Processing
Skills you'll gain: Natural Language Processing, Supervised Learning, Markov Model, Text Mining, Dimensionality Reduction, Artificial Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Machine Learning Methods, Data Processing, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Algorithms, Keras (Neural Network Library), Unstructured Data, Probability & Statistics, Linear Algebra
4.6
Rating, 4.6 out of 5 stars
6.1K reviews
Intermediate · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
EDUCBA
Keras Deep Learning Projects with TensorFlow
Skills you'll gain: Natural Language Processing, Keras (Neural Network Library), Generative AI, Generative Model Architectures, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Tensorflow, Deep Learning, Feature Engineering, Performance Testing, Machine Learning Methods, Applied Machine Learning, Google Cloud Platform, Application Development, Data Processing, Systems Development, Python Programming, Data Transformation
Beginner · Specialization · 1 - 3 Months
Status: Preview
Sungkyunkwan University
Fundamentals of CNNs and RNNs
Skills you'll gain: Image Analysis, Artificial Neural Networks, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Computer Vision, Tensorflow, Machine Learning
4.4
Rating, 4.4 out of 5 stars
38 reviews
Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Coursera Project Network
Deep Learning with PyTorch : Generative Adversarial Network
Skills you'll gain: PyTorch (Machine Learning Library), Generative Model Architectures, Deep Learning, Image Analysis, Python Programming
4.5
Rating, 4.5 out of 5 stars
98 reviews
Intermediate · Guided Project · Less Than 2 Hours
Status: Free Trial
DeepLearning.AI
Sequences, Time Series and Prediction
Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Keras (Neural Network Library), Deep Learning, Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Forecasting, Data Processing, Machine Learning
4.7
Rating, 4.7 out of 5 stars
5.1K reviews
Intermediate · Course · 1 - 4 Weeks
Status: New
Status: Free Trial
EDUCBA
Deep Learning with Python: CNN, ANN & RNN
Skills you'll gain: Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Data Processing, Computer Vision, Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Visualization, Time Series Analysis and Forecasting, Exploratory Data Analysis, Python Programming, Customer Analysis, Predictive Modeling, Google Cloud Platform, Development Environment
Beginner · Specialization · 1 - 3 Months
Status: New
Status: Free Trial
Pearson
Learning Deep Learning
Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting
Intermediate · Specialization · 1 - 4 Weeks
Status: New
Status: Free Trial
Packt
Deep Learning with TensorFlow
Skills you'll gain: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Network Architecture, Data Processing, Data Science
Intermediate · Specialization · 1 - 3 Months
Status: Free Trial
Packt
Deep Learning: Recurrent Neural Networks with Python
Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Performance Tuning, Data Science, Data Processing, Data Analysis
Beginner · Specialization · 1 - 3 Months