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Results for "components of gans"


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    A

    Alberta Machine Intelligence Institute

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Evaluation, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning, Image Quality, Unsupervised Learning, Information Privacy, Data Synthesis

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Augmented and Virtual Reality (AR/VR), Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    4.2K reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Foundations of Open Generative AI Engineering

    Skills you'll gain: Generative Model Architectures, Large Language Modeling, Generative AI, Open Source Technology, Image Analysis, Model Evaluation, Model Deployment, Scalability, Data Security

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google Cloud

    Introduction to Generative AI Learning Path

    Skills you'll gain: Responsible AI, Google Gemini, LLM Application, AI Enablement, AI Product Strategy, Stakeholder Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Starweaver

    GenAI Data and Analytics Academy

    Skills you'll gain: Prompt Engineering, Generative AI Agents, Retrieval-Augmented Generation, CrewAI, AI Orchestration, Vector Databases, Model Deployment, AI Personalization, Generative AI, Transfer Learning, Kubernetes, Enterprise Application Management, ChatGPT, AI Workflows, Containerization, Agentic systems, MLOps (Machine Learning Operations), Python Programming, System Monitoring, Engineering

    Intermediate · Specialization · 3 - 6 Months

What brings you to Coursera today?

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    I

    IBM

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Generative Model Architectures, ChatGPT, Generative Adversarial Networks (GANs), Responsible AI, OpenAI, AI Product Strategy, Data Ethics, Large Language Modeling, Leadership and Management, AI Enablement, Business Leadership, Business Ethics, Hugging Face, Legal Risk, IBM Cloud, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows

    4.7
    Rating, 4.7 out of 5 stars
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    12K reviews

    Beginner · Specialization · 3 - 6 Months

  • The Google AI Certificate that powers your career

    Enroll now
  • Status: Free Trial
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    I

    IBM

    Generative AI: Foundation Models and Platforms

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), OpenAI, Hugging Face, Large Language Modeling, Prompt Engineering, IBM Cloud, Deep Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    309 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Impact, Considerations, and Ethical Issues

    Skills you'll gain: Responsible AI, Data Ethics, Generative AI, Business Ethics, Legal Risk, Socioeconomics, AI Security, Social Impact, Information Privacy, Accountability

    4.8
    Rating, 4.8 out of 5 stars
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    310 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    S

    Stanford University

    Probabilistic Graphical Models

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

    4.6
    Rating, 4.6 out of 5 stars
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    1.5K reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: New
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    Starweaver

    GenAI Foundations for Professionals

    Skills you'll gain: Prompt Engineering, Responsible AI, ChatGPT, Generative AI, Large Language Modeling, Artificial Intelligence, AI Workflows, AI Personalization, Data Ethics, Emerging Technologies, Expectation Management, Decision Making, Verification And Validation, Business

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    M

    Microsoft

    Core generative models and techniques

    Skills you'll gain: Generative AI, Generative Model Architectures, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Model Deployment, Microsoft Azure, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Model Evaluation, Tensorflow, Data Pipelines, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…834

In summary, here are 10 of our most popular components of gans courses

  • Generative AI Fundamentals: Alberta Machine Intelligence Institute
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Generative AI: Introduction and Applications: IBM
  • Foundations of Open Generative AI Engineering: Coursera
  • Introduction to Generative AI Learning Path: Google Cloud
  • GenAI Data and Analytics Academy: Starweaver
  • Generative AI Fundamentals: IBM
  • Generative AI: Foundation Models and Platforms: IBM
  • Generative AI: Impact, Considerations, and Ethical Issues: IBM
  • Probabilistic Graphical Models: Stanford University

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