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[ CourseWikia.com ] Deep Learning via GANs: Healthcare, Conv AI Applications

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Instructors: Junaid Zafar
24 sections • 28 lectures • 3h 8m
Video: MP4 1280x720 44 KHz | English + Sub
Updated 4/2022 | Size: 3.7 GB

Generative Artificial Intelligence: 25+ Coding Solutions via AlexNet, ResNet & Inception Models & their implentations

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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Requirements
No programming experience needed. You will learn everything you need to know

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