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Applied AI through Deep Learning - Not only learn but create

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Applied AI through Deep Learning - Not only learn but create (Size: 3.7 GB)
  1. AI in Blockchain and Crypto-mining.mp4 151.4 MB
  1. AI in Blockchain and Crypto-mining.srt 7.4 KB
  1. Architecture based NLP for Health Care Assistant.mp4 154 MB
  1. Architecture based NLP for Health Care Assistant.srt 7.4 KB
  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
  1. Deep Machine Learning- A subset of AI.mp4 163.4 MB
  1. Deep Machine Learning- A subset of AI.srt 8.4 KB
  1. Emerging AI Healthcare Landscape.mp4 155.9 MB
  1. Emerging AI Healthcare Landscape.srt 6.8 KB
  1. Green AI a primer to reduce carbon footprints.mp4 106.4 MB
  1. Green AI a primer to reduce carbon footprints.srt 5 KB
  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
  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
  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
  1. Misinformation Detection via AI.mp4 167.9 MB
  1. Misinformation Detection via AI.srt 8.4 KB
  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
  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
  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
  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 KB
  2. Artificial Intelligence Nurturing Healthcare.mp4 142.3 MB
  2. Artificial Intelligence Nurturing Healthcare.srt 7.1 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
  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
  2. Role of Big Data Computing in AI.mp4 167.4 MB
  2. Role of Big Data Computing in AI.srt 7.8 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
  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. 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 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
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 48 total files

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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