• views: 219
• date: 3 January 2022
• posted by: voska89

Deep Learning Networks : Basics & Codes (A-Z Package)- From Human Augmentation, BCI to Adversarial Quantum Networks
What you'll learn:
Basics of AI and fundamentals of deep learning in AI using Python (Keras and TensorFlow)
Deep Machine Learning codes for training and testing in Python for different applications
How to use Data Augmentation and Transfer Learning Techniques in Deep Learning using Keras and TensorFlow
TensorFlow Quantum for training and testing of Quantum Neural Networks (Python)
Requirements
No programming experience needed. You will learn everything you need to know
Description
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 AIand particularly the deep learning routines. This course encompasses multidimensional implementations on the themes listed below;
1. Deep Learning: A subset of Artificial Intelligence
2. Big Data is Fueling AI.
3. How to model a problem in AI using datasets in Python (Keras & TensorFlow Libraries).
4. Data Augmentation in Deep Learning Networks.
5. How to use Transfer Learning in Deep Learning Networks.
6. How to use transfer learning in multiclass classification healthcare problems.
6. Backward Propagation and Optimization of hyper- parameters in AI.
7. Leading Convolutional Neural Networks (ALEXNET & INCEPTION) and validation indices.
8. Recurrent Neural Networks extending to Long Short Term Memory.
9. An understanding of Green AI.
10. Implementations of Neural Networks in Keras and Pytorch and introduction to Quantum Machine Learning.
11. Algorithms related to Quantum Machine Learning in TensorFlow Quantum and Qiskit.
12. AI based solutions for Neurological Diseases using Deep Learning.
13. AI for Brain Computer Interfacing and Neuromodulation.
14, AI algorithms for diagnosis, prognosis and treatment plans for Tumors.
15. How to model an AI problem in Healthcare.
16. AIin Block Chain and Crypto mining
17 AIin Crypto trading.
18. Forks in Block Chain via AI.
19. Investment Strategies in Crypto- trade using AI (Fungible and Non- Fungible Digital Currencies).
24. Artificial Intelligence in Robotics- A case example with complete code.
25. Artificial Intelligence in Smart Chatbots- A case example with complete code.
26. Impact of AI in business analytics- A case example with complete code.
27. AI in media and creative industries- A case example with complete code.
28. AI based advertisements for maximum clicks- A case example with complete code.
29. AI for the detection of Misinformation Detection.
30. Extraction of Fashion Trends using AI.
31. AIfor emotion detections during Covid- 19.Who this course is for:Beginner students curious about artificial intelligence and deep learning in python
Who this course is for
Beginner students curious about artificial intelligence and deep learning in python
Homepage

https://www.udemy.com/course/ai-nurturing-healthcare-big-data-computing-and-telehealth/

   
   
   

Forex Trading

Crypto Trading. 20 USD Bonus after KYC

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm

0 1 2 3 4 5

| Print version |

	Information
		Users of GUESTS are not allowed to comment this publication.