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  • Generative Adversarial Networks

Generative Adversarial Networks Courses

Generative Adversarial Networks courses can help you learn the principles of GAN architecture, training techniques, and evaluation metrics. You can build skills in image synthesis, data augmentation, and anomaly detection. Many courses introduce tools like TensorFlow and PyTorch, that support implementing GANs and experimenting with various models.


Popular Generative Adversarial Networks Courses and Certifications


  • P

    Packt

    Building and Training Neural Networks with PyTorch

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Classification Algorithms, Transfer Learning, Image Analysis, Model Evaluation, Model Training, Artificial Neural Networks, Fine-tuning, Computer Vision, Model Optimization, Data Preprocessing, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Start Neural Networks Advanced Model Architectures

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Software Documentation, Technical Documentation, Artificial Neural Networks, PyTorch (Machine Learning Library), Model Training, Deep Learning, Model Optimization, Applied Machine Learning, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Logistic Regression, Artificial Neural Networks, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Model Evaluation, Convolutional Neural Networks, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Build toward a degree

    Intermediate · Specialization · 3 - 6 Months

  • E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Model Optimization, Predictive Modeling, Model Training, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

  • S

    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Model Training, Artificial Intelligence, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Glasgow

    6G Vision: ML, Intelligent Surfaces & Optical Networks

    Skills you'll gain: Wireless Networks, Emerging Technologies, Digital Communications, Communication Systems, Internet Of Things, Software-Defined Networking, Network Planning And Design, Distributed Computing, Artificial Intelligence and Machine Learning (AI/ML), Electrical Engineering, Electronics Engineering, Zero Trust Network Access, AI Integrations, Information Technology, Machine Learning, Trustworthiness

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced CNNs, Transfer Learning, and Recurrent Networks

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Fine-tuning, Tensorflow, Natural Language Processing, Network Architecture, Model Training

    Advanced · Course · 1 - 3 Months

  • U

    University of Colorado System

    Peer-to-Peer Protocols and Local Area Networks

    Skills you'll gain: Local Area Networks, Network Protocols, Computer Networking, Network Architecture, TCP/IP, Network Performance Management, General Networking, Network Engineering, Wireless Networks, Telecommunications, Digital Communications

    4.7
    Rating, 4.7 out of 5 stars
    ·
    538 reviews

    Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Model Optimization, Tensorflow, Model Training, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Machine Learning Methods, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Verification And Validation, Debugging

    4.9
    Rating, 4.9 out of 5 stars
    ·
    64K reviews

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Cybersecurity Foundations: Threats Networks, and IoT Protection

    Skills you'll gain: Exploitation techniques, Border Gateway Protocol, Malware Protection, Cybersecurity, Routing Protocols, TCP/IP, Internet Of Things, Network Security, Cyber Attacks, Threat Detection, Network Monitoring, Network Routing, Network Analysis, Cyber Risk, Network Protocols, Docker (Software), Containerization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Large Language Modeling, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Foundations of Deep Learning and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Model Training, Tensorflow, Network Architecture, Artificial Intelligence, Model Optimization, Machine Learning, Linear Algebra

    Intermediate · Course · 1 - 3 Months

1…171819…362

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

  • Building and Training Neural Networks with PyTorch: Packt
  • Start Neural Networks Advanced Model Architectures: Coursera
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
  • 6G Vision: ML, Intelligent Surfaces & Optical Networks: University of Glasgow
  • Advanced CNNs, Transfer Learning, and Recurrent Networks: Packt
  • Peer-to-Peer Protocols and Local Area Networks: University of Colorado System
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Cybersecurity Foundations: Threats Networks, and IoT Protection: Johns Hopkins University

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