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  • Variational Autoencoders

Results for "variational+autoencoders"


  • Status: New
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    EDUCBA

    Analyze & Apply Generative AI for Research & Finance

    Skills you'll gain: Team Performance Management, Generative AI, Kanban Principles, Analytics, AI Security, Big Data, Investment Management, Coaching, Trend Analysis, Scalability, Emotional Intelligence, Technology Strategies, Business, Employee Engagement, Business Ethics, Customer experience improvement, Responsible AI, Complex Problem Solving, Research, Estimation

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
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    907 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Simplilearn

    Introduction Course to Autoencoders, VAEs, and GANs

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Autoencoders, Deep Learning, Convolutional Neural Networks, Tensorflow, Unsupervised Learning, Dimensionality Reduction, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Open Generative AI: Build with Open Models and Tools

    Skills you'll gain: Generative Model Architectures, Large Language Modeling, Generative AI, Model Deployment, Data Ethics, Data Validation, Data Cleansing, Image Quality, Data Preprocessing, Model Evaluation, AI Workflows, Transfer Learning, Data Quality, Text Mining, Open Source Technology, Image Analysis, Hugging Face, Data Collection, Cloud Computing, Cloud API

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Personalization, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
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    4.1K reviews

    Beginner · Course · 1 - 4 Weeks

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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, Data Pipelines, Prototyping, Image Quality, Time Series Analysis and Forecasting, Forecasting

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

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    Packt

    Generative AI and ChatGPT - Quickstart with Examples

    Skills you'll gain: OpenAI API, Generative AI, ChatGPT, Prompt Engineering, Artificial Intelligence, Natural Language Processing, Authentications, Application Programming Interface (API), Node.JS

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    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

    Generative AI and Large Language Models

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Multimodal Prompts, Responsible AI, Embeddings, Prompt Engineering, AI Security, Autoencoders, Vision Transformer (ViT), Model Deployment, Image Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 3 Months

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    Whizlabs

    Generative AI for AWS Cloud Engineers

    Skills you'll gain: Amazon Bedrock, Retrieval-Augmented Generation, Responsible AI, Generative AI, AI Security, Amazon Web Services, AI Enablement, Cloud Engineering, Large Language Modeling, Model Deployment, Prompt Engineering, Data Ethics, AWS Identity and Access Management (IAM), Model Evaluation, Cloud Security, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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 Enablement, Responsible AI, Real Time Data, Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Data Science, AI Workflows, Data Synthesis, Data Preprocessing, AI Personalization, Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
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    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

1234…9

In summary, here are 10 of our most popular variational+autoencoders courses

  • Analyze & Apply Generative AI for Research & Finance: EDUCBA
  • Generative AI Engineering with LLMs: IBM
  • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
  • Open Generative AI: Build with Open Models and Tools: Coursera
  • Generative AI: Introduction and Applications: IBM
  • Core generative models and techniques: Microsoft
  • Generative AI and ChatGPT - Quickstart with Examples: Packt
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Generative AI and Large Language Models: Coursera
  • Generative AI for AWS Cloud Engineers: Whizlabs

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