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Description of  Certification in AI and Human Augmentation - Codes in Python

2021 Duration: 2h 52m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 4.04 GB Genre: eLearning | Language: English 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 Descriptionai-nurturing-healthcare-big-data-computing-and-telehealth 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 transfercourse 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, Awww.udemy.comI 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. 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:Last Update: 12