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
How to Enroll Generative Adversarial Networks for Data Augmentation (AI) course?
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