Generative Adversarial Networks for Data Augmentation (AI)

1. Learn to model Artificial Intelligence using GANs: AlexNet, Inception to ResNet architectures for Computer Vision and Bioinformatics
2. GAN Architectures- Introduction and Different GAN Methods
3. Data Augmentations using GANs
4. TensorFlow Quantum for training and testing of Hybrid Quantum Neural Networks for Computer Vision in Healthcare(Python)
5. Applied Artificial Intelligence: Concept to diverse practical implications
6. Applied AI nurturing healthcare: Code Examples using Python programming
7. 20+ Coding Exercises and Solutions in Open CV for Computer Vision
8. Implementations of Transfer Learning and GANs in AlexNet, Inception & ResNet for various real life AI centric applications
9. How to build and implement leading AI architectures in Keras and TensorFlow Quantum with emphasis on medical computer vision