GANs (Generative Adversarial Networks) in AI for Healthcare (IT) & Various applications: 25+ Coding Exercises/ Solutions
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
AI is an enabler in transforming diverse realms by exploiting deep learning architectures.
The course aims to expose students to cutting-edge algorithms, techniques, and codes related to AI and particularly the Generative Adversarial Networks used for data creation in deep learning routines. This course encompasses multidimensional implementations of the themes listed below
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