What you would learn in Deep Learning via GANs: Healthcare, Conv AI Applications course?
AI is a crucial enabler for changing the world by leveraging deep learning structures.
The goal of the course is to introduce students to cutting-edge techniques, algorithms, and programming codes in the field of AI and precisely that of the Generative Adversarial Networks used for data generation in deep learning routines. The course covers multidimensional applications of the subjects listed below.
1. Deep Learning A component of Hybrid Artificial Intelligence
2. Big Data is Fueling Applied AI.
3. How can you model a problem using AI by using data sets in Python (Keras and TensorFlow Libraries).
4. Data Augmentation by using GANs within Hybrid Deep Learning Networks.
5. How can I use Transfer Learning in Hybrid GAN Networks.
6. How can transfer learning be used for multiclass classification in healthcare problems.
6. Optimizing and Backward propagation of Hyper-parameters for AI-based GANs.
7. Leading Convolutional Neural Networks (ALEXNET INCEPTION) employing GANs and validation indexes.
8. Recurrent Neural Networks are extending to Long-Short-Term Memory.
9. A better understanding of the concept of Green AI.
10. Implementation of Neural Networks in Keras and Pytorch and an introduction towards Quantum Machine Learning.
11. Algorithms associated with Quantum Machine Learning in TensorFlow Quantum and Qiskit.
12. GANs to treat Neurological Diseases using Deep Learning.
13. GANs to facilitate Brain-Computer Interfacing and Neuromodulation.
14. GAN Based AI algorithms to diagnose and prognosis and treatment plans for tumors.
15. How do you create a model of an AI issue by using GAN for Healthcare.
16. Artificial Intelligence in BlockChain and Cryptomining
17. AI 17 AI Crypto trading.
18. Forks are integrated into BlockChain via AI.
19. Investment Strategies for Crypto trading by using AI (Fungible and Non-Fungible digital Currencies).
24. Artificial Intelligence in Robotics- A case study with all the program code.
25. Artificial Intelligence in Smart Chatbots - A case study with full code.
26. Impact of AI in business analytics. A case study with complete program code.
27. AI in the media and creative industries- A case study with complete code.
28. AI ads based on AI for maximum clicks - A sample with all the code.
29. AI to detect Misinformation Detection.
30. The extraction of fashion trends using AI.
31. AI for emotion detections during Covid- 19.
Discover how to create models for Artificial Intelligence using GANs: AlexNet From from inception through ResNet architectures to Computer Vision and Bioinformatics
GAN Architectures Introduction and different GAN Methodologies
Data Augmentations utilizing GANs
TensorFlow Quantum for training and testing of Hybrid Quantum Neural Networks for Computer Vision in Healthcare(Python)
Applied Artificial Intelligence: Concept with diverse practical applications
The application of AI caring for healthcare with code examples using Python programming
More than 20 Coding Experiments and Solutions in an open CV in Computer Vision
Implementation of Transfer Learning and GANs in AlexNet, Inception & ResNet for various real-world AI-focused applications
How do you develop and implement world-class AI designs for Keras and TensorFlow Quantum with an emphasis on medical computer vision?
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