Generative Adversarial Networks for Data Augmentation (AI)

GANs for Artificial Intelligence implementations: Basics and 25+ Coding Solutions via AlexNet, ResNet & Inception Models

[Free Udemy Course] Generative Adversarial Networks for Data Augmentation (AI)

What you'll learn

  • Learn to model Artificial Intelligence using GANs: AlexNet, Inception to ResNet architectures for Computer Vision and Bioinformatics
  • GAN Architectures- Introduction and Different GAN Methods
  • Data Augmentations using GANs
  • TensorFlow Quantum for training and testing of Hybrid Quantum Neural Networks for Computer Vision in Healthcare(Python)
  • Applied Artificial Intelligence: Concept to diverse practical implications
  • Applied AI nurturing healthcare: Code Examples using Python programming
  • 20+ Coding Exercises and Solutions in Open CV for Computer Vision
  • Implementations of Transfer Learning and GANs in AlexNet, Inception & ResNet for various real life AI centric applications
  • How to build and implement leading AI architectures in Keras and TensorFlow Quantum with emphasis on medical computer vision

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