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  • Gan Models

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Results for "gan models"


  • Status: New
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    M

    Microsoft

    Microsoft Generative AI Engineering

    Skills you'll gain: Generative AI, Responsible AI, Generative Model Architectures, Prompt Engineering, Generative Adversarial Networks (GANs), MLOps (Machine Learning Operations), AI Security, Multimodal Prompts, Data Ethics, AI Workflows, Microsoft Azure, ChatGPT, AI Orchestration, Model Deployment, AI Enablement, Version Control, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Application Lifecycle Management, Python Programming

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    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

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    Coursera

    Open Generative AI: Build with Open Models and Tools

    Skills you'll gain: Retrieval-Augmented Generation, Generative Model Architectures, Large Language Modeling, Generative AI, Model Evaluation, LangChain, Model Deployment, Data Ethics, Data Validation, Software Design Patterns, Data Cleansing, Data Quality, Vector Databases, Image Quality, Data Preprocessing, LLM Application, Embeddings, AI Workflows, Dashboard, Cloud Computing

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
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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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    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 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?

  • Status: New
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    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, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • The Google AI Certificate that powers your career

    Enroll now
  • Status: New
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    Preview
    E

    EDUCBA

    Analyze and Build Deep Learning Models with TensorFlow

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Data Preprocessing, Convolutional Neural Networks, Plot (Graphics), Generative AI, Deep Learning, Unsupervised Learning, Model Evaluation, Natural Language Processing, Responsible AI, Time Series Analysis and Forecasting, Data Visualization, Transfer Learning, Supervised Learning, Data Ethics, Image Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Embeddings

    4.5
    Rating, 4.5 out of 5 stars
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    44 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    S

    Simplilearn

    Generative AI Models and Transformer Networks Certification

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Autoencoders, ChatGPT, OpenAI, Deep Learning, Model Evaluation, Vision Transformer (ViT), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Computer Vision, Unsupervised Learning, Natural Language Processing

    3.4
    Rating, 3.4 out of 5 stars
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    13 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    Packt

    Gen AI - RAG Application Development using LangChain

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Tool Calling, AI Workflows, Generative AI Agents, Document Management, Query Languages, Text Mining, Context Management

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    Coursera

    Building RAG Systems with Open Models

    Skills you'll gain: Retrieval-Augmented Generation, Generative AI, LangChain, Software Design Patterns, Vector Databases, LLM Application, Embeddings, Prompt Engineering, Large Language Modeling, Model Evaluation, Text Mining, Scalability, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…236

In summary, here are 10 of our most popular gan models courses

  • Microsoft Generative AI Engineering: Microsoft
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Open Generative AI: Build with Open Models and Tools: Coursera
  • Foundations of Open Generative AI Engineering: Coursera
  • Probabilistic Graphical Models: Stanford University
  • GenAI Data and Analytics Academy: Starweaver
  • Core generative models and techniques: Microsoft
  • Analyze and Build Deep Learning Models with TensorFlow: EDUCBA
  • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs
  • Generative AI Models and Transformer Networks Certification: Simplilearn

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