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  • Generative Adversarial Networks Gans

Results for "generative adversarial networks (gans)"


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    Pearson

    Programming Generative AI: Unit 2

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Image Quality, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Simplilearn

    Image Generation with AI Training Course

    Skills you'll gain: Autoencoders, Multimodal Prompts, Generative AI, Embeddings, Generative Model Architectures, Prompt Engineering, Image Quality, Unsupervised Learning, Model Training

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Artificial Neural Networks, Deep Learning, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Pearson

    Programming Generative AI: Unit 3

    Skills you'll gain: Multimodal Prompts, Fine-tuning, Generative AI, Model Evaluation, Generative Model Architectures, Image Analysis, Embeddings, Model Training, Model Optimization

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Fraud detection, Model Evaluation, Malware Protection, Cybersecurity, Threat Detection, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Classification Algorithms, Email Security, Network Security, Jupyter, Authentications, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence

    4.3
    Rating, 4.3 out of 5 stars
    ·
    130 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Artificial Intelligence, Machine Learning Methods, Recurrent Neural Networks (RNNs), Python Programming, Model Training, Model Optimization

    4.9
    Rating, 4.9 out of 5 stars
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    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Transfer Learning, Deep Learning, Fine-tuning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Data Preprocessing, Embeddings, Model Training, Network Architecture

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Securing AI and Advanced Topics

    Skills you'll gain: Generative Adversarial Networks (GANs), AI Security, Fraud detection, Model Evaluation, Feature Engineering, Cybersecurity, Cyber Security Strategy, Reinforcement Learning, Model Optimization, Data Synthesis

    4.4
    Rating, 4.4 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    Introduction to Neural Networks and PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Logistic Regression, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Deep Learning, Regression Analysis, Machine Learning, Supervised Learning, Data Preprocessing, Statistical Methods, Data Processing, Probability & Statistics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.9K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning, Dimensionality Reduction, Classification Algorithms

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Architecting AI Solutions – Scalable GenAI Systems

    Skills you'll gain: Generative Model Architectures, Generative AI, Cloud Deployment, AI Security, Scalability, Cloud-Native Computing, Application Design, Model Deployment, Systems Architecture, Load Balancing, Cloud Platforms, Application Deployment, Capacity Management, Software Architecture, Containerization, Responsible AI, System Monitoring, Disaster Recovery

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    30 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular generative adversarial networks (gans) courses

  • Programming Generative AI: Unit 2: Pearson
  • Image Generation with AI Training Course: Simplilearn
  • Programming Generative AI: Unit 1: Pearson
  • Programming Generative AI: Unit 3: Pearson
  • AI for Cybersecurity: Johns Hopkins University
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Convolutional Neural Networks: DeepLearning.AI
  • Securing AI and Advanced Topics: Johns Hopkins University
  • Introduction to Neural Networks and PyTorch: IBM
  • Deep Learning for Computer Vision: University of Colorado Boulder

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