[Udemy] Generative Adversarial Networks for Data Augmentation (AI)
What you’ll learn
GAN Architectures- Introduction and Completely different GAN Strategies
Data Augmentations utilizing GANs
TensorFlow Quantum for coaching and testing of Hybrid Quantum Neural Networks for Pc Imaginative and prescient in Healthcare(Python)
Utilized Synthetic Intelligence: Idea to numerous sensible implications
Utilized AI nurturing healthcare: Code Examples utilizing Python programming
20+ Coding Workouts and Options in Open CV for Pc Imaginative and prescient
Implementations of Switch Studying and GANs in AlexNet, Inception & ResNet for varied actual life AI centric functions
- No programming expertise wanted. You’ll study every little thing it’s worthwhile to know
The course goals to reveal college students to cutting-edge algorithms, methods, and codes associated to AI and notably the Generative Adversarial Networks used for knowledge creation in deep studying routines. This course encompasses multidimensional implementations of the themes listed under;
1. Deep Studying: A subset of Hybrid Synthetic Intelligence
2. Massive Data is Fueling Utilized AI.
3. Learn how to mannequin an issue in AI utilizing datasets in Python (Keras & TensorFlow Libraries).
4. Data Augmentation utilizing GANs in Hybrid Deep Studying Networks.
5. Learn how to use Switch Studying in Hybrid GAN Networks.
6. Learn how to use switch studying in multiclass classification healthcare issues.
6. Backward Propagation and Optimization of hyper-parameters in AI GANs.
7. Main Convolutional Neural Networks (ALEXNET & INCEPTION) utilizing GANs and validation indices.
8. Recurrent Neural Networks extending to Lengthy Brief Time period Reminiscence.
9. An understanding of Inexperienced AI.
10. Implementations of Neural Networks in Keras and Pytorch and introduction to Quantum Machine Studying.
11. Algorithms associated to Quantum Machine Studying in TensorFlow Quantum and Qiskit.
12. GANs for Neurological Illnesses utilizing Deep Studying.
13. GANs for Mind-Pc Interfacing and Neuromodulation.
14, GAN based mostly AI algorithms for analysis, prognosis, and remedy plans for Tumors.
15. Learn how to mannequin an AI downside utilizing GAN in Healthcare.
16. AI in BlockChain and Crypto mining
17 AI in Crypto buying and selling.
18. Forks in Block Chain by way of AI.
19. Funding Methods in Crypto- commerce utilizing AI (Fungible and Non- Fungible Digital Currencies).
24. Synthetic Intelligence in Robotics- A case instance with full code.
25. Synthetic Intelligence in Sensible Chatbots- A case instance with full code.
26. Affect of AI in enterprise analytics- A case instance with full code.
27. AI in media and artistic industries- A case instance with full code.
28. AI based mostly ads for most clicks- A case instance with full code.
29. AI for the detection of Misinformation Detection.
30. Extraction of Trend Developments utilizing AI.
31. AI for emotion detections throughout Covid- 19.
Who this course is for:
- Newbie college students inquisitive about studying ideas of GANs, synthetic intelligence and deep studying in python
- Tutorial and Analysis College students working within the realm machine studying, deep neural networks and synthetic intelligence