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  • Recurrent Neural Network

Recurrent Neural Network Courses

Recurrent Neural Network courses can help you learn sequence prediction, time series analysis, and natural language processing techniques. You can build skills in designing and training RNN architectures, optimizing model performance, and implementing long short-term memory (LSTM) networks. Many courses introduce tools like TensorFlow and Keras, that support developing AI applications that require handling sequential data, enabling you to apply your knowledge in practical scenarios.


Popular Recurrent Neural Network Courses and Certifications


  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Viral Marketing and How to Craft Contagious Content

    Skills you'll gain: Social Network Analysis, Social Media Marketing, Social Media, Consumer Behaviour, Content Creation, Influencing, Advertising, Marketing, Marketing Psychology, Brand Strategy, Storytelling, Communication

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Google AI Essentials

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Information Systems Security Assessment Framework (ISSAF), Operational Efficiency, Business Process Automation, Data Security, Critical Thinking, Analysis, Innovation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    17K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, LLM Application, Strategic Leadership, Risking, Business Ethics, Legal Risk, Artificial Intelligence and Machine Learning (AI/ML), Business Development, Deep Learning, Content Creation

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    E

    Edge Impulse

    Computer Vision with Embedded Machine Learning

    Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Embedded Systems, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Embedded Software, Deep Learning, Data Ethics, Machine Learning, Data Processing, Computer Programming, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
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    158 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, AI Product Strategy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Deep Learning, Data Visualization Software, Machine Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
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    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Generative Model Architectures, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Unsupervised Learning, Probability & Statistics, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
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    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Cloud Computing, Machine Learning, Data Cleansing, Python Programming, Data Transformation, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
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    2.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Business Intelligence (BI) Analysts

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Interactive Data Visualization, Business Intelligence, Data Presentation, Infographics, Data Visualization, Dashboard, Data Storytelling, Data Visualization Software, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Large Language Modeling, Deep Learning, SQL, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Java and Spring Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, Restful API, Application Deployment, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Application Programming Interface (API), AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Java Programming

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Engineer

    Skills you'll gain: Cloud Infrastructure, Identity and Access Management, Kubernetes, Google Cloud Platform, Cloud Management, Prompt Engineering, Cloud Storage, Containerization, Infrastructure As A Service (IaaS), Cloud-Native Computing, Terraform, Cloud Applications, Cloud Computing Architecture, Cloud Services, Load Balancing, Application Deployment, Infrastructure as Code (IaC), Virtual Machines, Data Storage Technologies, Cloud Computing

    4.7
    Rating, 4.7 out of 5 stars
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    59K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Digital Marketing & E-commerce

    Skills you'll gain: Data Storytelling, Media Planning, Social Media Marketing, Google Ads, Email Marketing, Social Media Strategy, Order Fulfillment, Social Media Management, Search Engine Optimization, Performance Measurement, Spreadsheet Software, A/B Testing, Digital Marketing, E-Commerce, Campaign Management, Loyalty Programs, Customer Retention, Marketing, Interviewing Skills, Professional Development

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    46K reviews

    Beginner · Professional Certificate · 3 - 6 Months

Searches related to recurrent neural network

deep learning: recurrent neural networks with python
deep learning - recurrent neural networks with tensorflow
1…414243…331

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

  • Viral Marketing and How to Craft Contagious Content: University of Pennsylvania
  • Google AI Essentials: Google
  • Generative AI Fundamentals: IBM
  • Computer Vision with Embedded Machine Learning: Edge Impulse
  • Generative AI for Data Scientists: IBM
  • Probabilistic Graphical Models: Stanford University
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
  • Generative AI for Business Intelligence (BI) Analysts: IBM
  • Generative AI for Java and Spring Developers: IBM

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