Applied AI through Deep Learning - Not only learn but create

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[ TutGee.com ] Applied AI through Deep Learning - Not only learn but create
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. How Artificial Intelligence is using Big Data to model Deep Neural Networks
    • 1. Deep Machine Learning- A subset of AI.mp4 (163.4 MB)
    • 1. Deep Machine Learning- A subset of AI.srt (8.4 KB)
    • 2. Role of Big Data Computing in AI.mp4 (167.4 MB)
    • 2. Role of Big Data Computing in AI.srt (7.8 KB)
    10. AI for Green Cryptocurrencies
    • 1. How to reduce carbon emissions and to generate eco friendly cryptocurrencies.mp4 (159.6 MB)
    • 1. How to reduce carbon emissions and to generate eco friendly cryptocurrencies.srt (7.8 KB)
    11. PROOF OF WORK and PROOF OF STAKE BLOCKCHAIN ALGORITHMS
    • 1. PROOF OF WORK VS PROOF OF STAKE DIGITAL CURRENCIES.mp4 (220.8 MB)
    • 1. PROOF OF WORK VS PROOF OF STAKE DIGITAL CURRENCIES.srt (11.7 KB)
    12. Artificial Intelligence in Smart Chatbots
    • 1. Architecture based NLP for Health Care Assistant.mp4 (154.0 MB)
    • 1. Architecture based NLP for Health Care Assistant.srt (7.4 KB)
    13. Misinformation Detection using Deep Learning
    • 1. Misinformation Detection via AI.mp4 (167.9 MB)
    • 1. Misinformation Detection via AI.srt (8.4 KB)
    14. Smart Social Media Marketing and Business Analytics using AI
    • 1. How to achieve maximum clicks and extract trends on social media.mp4 (248.7 MB)
    • 1. How to achieve maximum clicks and extract trends on social media.srt (12.5 KB)
    2. How to Model, Train and validate a deep learning Classifier in Python
    • 1. Data Set Creation, labeling and Dynamic Programming for an AI Neural Network.mp4 (171.5 MB)
    • 1. Data Set Creation, labeling and Dynamic Programming for an AI Neural Network.srt (8.8 KB)
    • 2. Data Augmentation and Features Extraction using deep CNNs.mp4 (131.6 MB)
    • 2. Data Augmentation and Features Extraction using deep CNNs.srt (6.6 KB)
    • 3. How to use Transfer Learning in Healthcare Problems using Deep CNN's.mp4 (165.3 MB)
    • 3. How to use Transfer Learning in Healthcare Problems using Deep CNN's.srt (7.9 KB)
    3. Optimizers in AI and Back-propagation in deep learning Networks
    • 1. Optimizers, Backpropagation and reinforcement in Deep Learning Networks.mp4 (156.6 MB)
    • 1. Optimizers, Backpropagation and reinforcement in Deep Learning Networks.srt (7.6 KB)
    4. LSTMs and Tiny AI
    • 1. Long Short Term Memory using Recurrent Neural Networks for Bio-computing.mp4 (145.3 MB)
    • 1. Long Short Term Memory using Recurrent Neural Networks for Bio-computing.srt (6.8 KB)
    • 2. Tiny Artificial Intelligence for well being using Wearables and Implants.mp4 (147.1 MB)
    • 2. Tiny Artificial Intelligence for well being using Wearables and Implants.srt (6.7 KB)
    5. Modeling and Implementation of Medical Imaging Problems in Python using AI
    • 1. Emerging AI Healthcare Landscape.mp4 (155.9 MB)
    • 1. Emerging AI Healthcare Landscape.srt (6.8 KB)
    • 2. Artificial Intelligence Nurturing Healthcare.mp4 (142.3 MB)
    • 2. Artificial Intelligence Nurturing Healthcare.srt (7.1 KB)
    • 3. Implementation of Neural Networks in AI for Neurodegenerative Disorders.mp4 (168.6 MB)
    • 3. Implementation of Neural Networks in AI for Neurodegenerative Disorders.srt (8.1 KB)
    • 4. Brain Computer Interfacing using Python Codes.mp4 (218.0 MB)
    • 4. Brain Computer Interfacing using Python Codes.srt (11.2 KB)
    • 5. Modeling of deep learning networks for Cancer Diagnosis.mp4 (190.5 MB)
    • 5. Modeling of deep learning networks for Cancer Diagnosis.srt (9.4 KB)
    6. Green Artificial Intelligence
    • 1. Green AI a primer to reduce carbon footprints.mp4 (106.4 MB)
    • 1. Green AI a primer to reduce carbon footprints.srt (5.0 KB)
    7. Quantum Machine Learning using Pytorch, Qiskit and TensorFLow Quantum
    • 1. TensorFlow Quantum as a Software Framework for Quantum Machine Learning.mp4 (262.3 MB)
    • 1. TensorFlow Quantum as a Software Framework for Quantum Machine Learning.srt (13.0 KB)
    8. Artificial Intelligence A Case Example of Cryptocurrency
    • 1. AI in Blockchain and Crypto-mining.mp4 (151.4 MB)
    • 1. AI in Blockchain and Crypto-mining.srt (7.4 KB)
    9. Deep learning for implementing Forks in Block chain
    • 1. Role of Soft and Hard forks and their impact on Digital currency.mp4 (129.2 MB)
    • 1. Role of Soft and Hard forks and their impact on Digital currency.srt (6.4 KB)
    • 2. Fungible vs Non Fungible Block Tokens in Blockchain.mp4 (104.5 MB)
    • 2. Fungible vs Non Fungible Block Tokens in Blockchain.srt (5.5 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Applied AI through Deep Learning: Not only learn but create



https://TutGee.com

Instructors: Junaid Zafar
14 sections • 23 lectures • 2h 52m total length
Video: MP4 1280x720 44 KHz | English + Sub
Updated 12/2021 | Size: 3.737 GB

Learn to build applied AI: Health care, Robotics, Chatbots, business analytics & misinformation detection applications

What you'll learn
Basics of Applied AI and fundamentals of deep learning in AI using Python (Keras and TensorFlow)
Applied AI codes for training and testing in Python for different applications
How to use Data Augmentation and Transfer Learning Techniques in Applied AI using Keras and TensorFlow
TensorFlow Quantum for training and testing of Hybrid 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 AI and particularly the deep learning routines. This course encompasses multidimensional implementations on the themes listed below;



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Applied AI through Deep Learning - Not only learn but create
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