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    • Recurrent Neural Network

    Recurrent Neural Network Courses Online

    Master recurrent neural networks (RNN) for sequence modeling. Learn to build and train RNNs for tasks like language modeling and time series prediction.

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    Explore the Recurrent Neural Network Course Catalog

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Introduction to Neural Networks

      Skills you'll gain: Artificial Neural Networks, Machine Learning Algorithms, Deep Learning, Computer Vision, Image Analysis, Machine Learning, Linear Algebra, Artificial Intelligence, Performance Tuning, Probability & Statistics

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, SQL, Predictive Modeling, Supervised Learning, Feature Engineering, Plotly, Interactive Data Visualization, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Unsupervised Learning, Generative AI, Pandas (Python Package), Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      143K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I
      I

      Multiple educators

      IBM and ISC2 Cybersecurity Specialist

      Skills you'll gain: Software Development Life Cycle, Computing Platforms, Network Security, Incident Response, Cloud Computing Architecture, Penetration Testing, Computer Security Incident Management, Cloud Services, Business Continuity, Security Controls, Disaster Recovery, Peripheral Devices, Cybersecurity, Configuration Management, Cloud Security, Cloud Technologies, Cloud Infrastructure, Cloud Applications, Network Troubleshooting, Cloud Platforms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Scikit Learn (Machine Learning Library), Network Model, Jupyter, NumPy, Graph Theory, Data Manipulation, Natural Language Processing, Data Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      IT Security: Defense against the digital dark arts

      Skills you'll gain: Information Systems Security, Network Security, Computer Security, Application Security, Cybersecurity, Security Awareness, Cyber Attacks, Encryption, Data Security, Cryptography, Security Strategy, Information Technology, Security Management, Authorization (Computing), Threat Management, Firewall, Network Administration, Identity and Access Management, Threat Detection, Hardening

      4.8
      Rating, 4.8 out of 5 stars
      ·
      25K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Information Technology (IT) and Cloud Fundamentals

      Skills you'll gain: Software Development Life Cycle, Computing Platforms, Cloud Computing Architecture, Cloud Services, Peripheral Devices, Cybersecurity, Cloud Security, Cloud Technologies, Cloud Infrastructure, Cloud Applications, Network Troubleshooting, Encryption, Data Storage, Cyber Attacks, Technical Support, Networking Hardware, Computer Hardware, Information Technology, Cloud Computing, Databases

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Data Analysis with R Programming

      Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Package and Software Management, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Python for Everybody

      Skills you'll gain: Web Scraping, Data Processing, Relational Databases, JSON, Database Design, SQL, Network Protocols, Web Services, Restful API, Data Modeling, Programming Principles, Application Programming Interface (API), Data Structures, Data Collection, Data Visualization Software, Data Manipulation, Computer Programming, Python Programming, Scripting Languages, Data Import/Export

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      277K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Fundamentals of Network Communication

      Skills you'll gain: Digital Communications, OSI Models, Network Protocols, TCP/IP, Network Routing, Network Architecture, Network Planning And Design, Computer Networking, Network Model, System Programming, Data Integrity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      Institut Mines-Télécom

      5G Network Fundamentals

      Skills you'll gain: Wireless Networks, Network Architecture, Network Security, Network Infrastructure, Service Oriented Architecture, Network Performance Management, Computer Networking, Emerging Technologies, Network Protocols, Telecommunications, Cloud Computing Architecture, Mobile Security, Interoperability, Authentications, Encryption

      4.6
      Rating, 4.6 out of 5 stars
      ·
      99 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Software Development Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Cloud Services, Development Environment, Version Control, Other Programming Languages, Query Languages, Open Source Technology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Natural Language Processing with Attention Models

      Skills you'll gain: Natural Language Processing, PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Tensorflow, Machine Learning Methods, Artificial Intelligence, Artificial Neural Networks, Text Mining, Data Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Introduction to Neural Networks: Johns Hopkins University
    • IBM Data Science: IBM
    • IBM and ISC2 Cybersecurity Specialist: ISC2
    • Applied Data Science with Python: University of Michigan
    • IT Security: Defense against the digital dark arts : Google
    • Information Technology (IT) and Cloud Fundamentals: IBM
    • Data Analysis with R Programming: Google
    • Python for Everybody: University of Michigan
    • Fundamentals of Network Communication: University of Colorado System
    • 5G Network Fundamentals: Institut Mines-Télécom

    Frequently Asked Questions about 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.‎

    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.‎

    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.‎

    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.‎

    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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