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[FreeTutorials Us] Udemy - Artificial Intelligence Masterclass

[FreeTutorials Us] Udemy - Artificial Intelligence Masterclass

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Description
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Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL & AI models

Created by : Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team
Last updated : 7/2019
Language : English
Course Source : https://www.udemy.com/artificial-intelligence-masterclass/

What you'll learn

• How to Build an AI
• How to Build a Hybrid Intelligent System
• Fully-Connected Neural Networks
• Convolutional Neural Networks
• Recurrent Neural Networks
• AutoEncoders
• Variational AutoEncoders
• Mixture Density Network
• Deep Reinforcement Learning
• Policy Gradient
• Genetic Algorithms
• Evolution Strategies
• Covariance-Matrix Adaptation Evolution Strategies (CMA-ES)
• Controllers
• Meta Learning
• Deep NeuroEvolution

Course content
all 89 lectures 12:01:58

Requirements

• High school mathematics
• A bit of coding experience

Description

Today, we are bringing you the king of our AI courses...:

The Artificial Intelligence MASTERCLASS

Are you keen on Artificial Intelligence? Do want to learn to build the most powerful AI model developed so far and even play against it? Sounds tempting right...

Then Artificial Intelligence Masterclass course is the right choice for you. This ultimate AI toolbox is all you need to nail it down with ease. You will get 10 hours step by step guide and the full roadmap which will help you build your own Hybrid AI Model from scratch.

In this course, we will teach you how to develop the most powerful Artificial intelligence model based on the most robust Hybrid Intelligent System. So far this model proves to be the best state of the art AI ever created beating its predecessors at all the AI competitions with incredibly high scores.

This Hybrid Model is aptly named the Full World Model, and it combines all the state of the art models of the different AI branches, including Deep Learning, Deep Reinforcement Learning, Policy Gradient, and even, Deep NeuroEvolution.

By enrolling in this course you will have the opportunity to learn how to combine the below models in order to achieve best performing artificial intelligence system:


• Fully-Connected Neural Networks

• Convolutional Neural Networks

• Recurrent Neural Networks

• Variational AutoEncoders

• Mixed Density Networks

• Genetic Algorithms

• Evolution Strategies

• Covariance Matrix Adaptation Evolution Strategy (CMA-ES)

• Parameter-Exploring Policy Gradients

• Plus many others

Therefore, you are not getting just another simple artificial intelligence course but all in one package combining a course and a master toolkit, of the most powerful AI models. You will be able to download this toolkit and use it to build hybrid intelligent systems. Hybrid Models are becoming the winners in the AI race, so you must learn how to handle them already.

In addition to all this, we will also give you the full implementations in the two AI frameworks: TensorFlow and Keras. So anytime you want to build an AI for a specific application, you can just grab those model you need in the toolkit, and reuse them for different projects!

Don’t wait to join us on this EPIC journey in mastering the future of the AI - the hybrid AI Models.

Who this course is for :

• Anyone interested in Artificial Intelligence, Deep Learning, or Machine Learning.




File list
  • [FreeTutorials Us] Udemy - Artificial Intelligence Masterclass
  • 0. Websites you may like/How you can help Team-FTU.txt 237 B
  • 1. Introduction/1. Updates on Udemy Reviews.mp4 22 MB
  • 1. Introduction/1. Updates on Udemy Reviews.srt 3.5 KB
  • 1. Introduction/1. Updates on Udemy Reviews.vtt 3 KB
  • 1. Introduction/2. Introduction + Course Structure + Demo.mp4 195.3 MB
  • 1. Introduction/2. Introduction + Course Structure + Demo.srt 21.9 KB
  • 1. Introduction/2. Introduction + Course Structure + Demo.vtt 19.2 KB
  • 1. Introduction/3. BONUS Learning Paths.html 2.4 KB
  • 1. Introduction/4. Your Three Best Resources.mp4 134.5 MB
  • 1. Introduction/4. Your Three Best Resources.srt 13.3 KB
  • 1. Introduction/4. Your Three Best Resources.vtt 11.8 KB
  • 1. Introduction/5. Download the Resources here.html 790 B
  • 1. Introduction/6. Meet your instructors!.html 723 B
  • 10. Step 9 - Reinforcement Learning/1. Welcome to Step 9 - Reinforcement Learning.html 424 B
  • 10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.mp4 68.6 MB
  • 10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.srt 18.1 KB
  • 10. Step 9 - Reinforcement Learning/2. What is Reinforcement Learning.vtt 16 KB
  • 10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.mp4 154.3 MB
  • 10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.srt 27 KB
  • 10. Step 9 - Reinforcement Learning/3. A Pseudo Implementation of Reinforcement Learning for the Full World Model.vtt 23.5 KB
  • 10. Step 9 - Reinforcement Learning/4. Full Code Section.html 393 B
  • 11. Step 10 - Deep NeuroEvolution/1. Welcome to Step 10 - Deep NeuroEvolution.html 1.2 KB
  • 11. Step 10 - Deep NeuroEvolution/2. Deep NeuroEvolution.mp4 108.8 MB
  • 11. Step 10 - Deep NeuroEvolution/2. Deep NeuroEvolution.srt 15.1 KB
  • 11. Step 10 - Deep NeuroEvolution/2. Deep NeuroEvolution.vtt 13.3 KB
  • 11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.mp4 119.4 MB
  • 11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.srt 13 KB
  • 11. Step 10 - Deep NeuroEvolution/3. Evolution Strategies.vtt 11.4 KB
  • 11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.mp4 149.1 MB
  • 11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.srt 17.7 KB
  • 11. Step 10 - Deep NeuroEvolution/4. Genetic Algorithms.vtt 15.5 KB
  • 11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).mp4 144.1 MB
  • 11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).srt 17.2 KB
  • 11. Step 10 - Deep NeuroEvolution/5. Covariance-Matrix Adaptation Evolution Strategy (CMA-ES).vtt 15.2 KB
  • 11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).mp4 143.9 MB
  • 11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).srt 16.4 KB
  • 11. Step 10 - Deep NeuroEvolution/6. Parameter-Exploring Policy Gradients (PEPG).vtt 14.5 KB
  • 11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.mp4 108.1 MB
  • 11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.srt 10.4 KB
  • 11. Step 10 - Deep NeuroEvolution/7. OpenAI Evolution Strategy.vtt 9.2 KB
  • 12. The Final Run/1. The Whole Implementation.mp4 273.7 MB
  • 12. The Final Run/1. The Whole Implementation.srt 28.3 KB
  • 12. The Final Run/1. The Whole Implementation.vtt 24.9 KB
  • 12. The Final Run/2. Download the whole AI Masterclass folder here.html 1 KB
  • 12. The Final Run/2.1 AI Masterclass.zip.zip 17.1 MB
  • 12. The Final Run/3. Installing the required packages.mp4 158.7 MB
  • 12. The Final Run/3. Installing the required packages.srt 17.5 KB
  • 12. The Final Run/3. Installing the required packages.vtt 15 KB
  • 12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.mp4 125.1 MB
  • 12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.srt 15.8 KB
  • 12. The Final Run/4. The Final Race Human Intelligence vs. Artificial Intelligence.vtt 13.5 KB
  • 12. The Final Run/5. THANK YOU bonus video.mp4 29.2 MB
  • 12. The Final Run/5. THANK YOU bonus video.srt 2.3 KB
  • 12. The Final Run/5. THANK YOU bonus video.vtt 2 KB
  • 13. Bonus Lectures/1. YOUR SPECIAL BONUS.html 1.1 KB
  • 2. Step 1 - Artificial Neural Network/1. Welcome to Step 1 - Artificial Neural Network.html 605 B
  • 2. Step 1 - Artificial Neural Network/2. Plan of Attack.mp4 15.8 MB
  • 2. Step 1 - Artificial Neural Network/2. Plan of Attack.srt 3.9 KB
  • 2. Step 1 - Artificial Neural Network/2. Plan of Attack.vtt 3.5 KB
  • 2. Step 1 - Artificial Neural Network/3. The Neuron.mp4 98.8 MB
  • 2. Step 1 - Artificial Neural Network/3. The Neuron.srt 24.7 KB
  • 2. Step 1 - Artificial Neural Network/3. The Neuron.vtt 21.6 KB
  • 2. Step 1 - Artificial Neural Network/4. The Activation Function.mp4 45.4 MB
  • 2. Step 1 - Artificial Neural Network/4. The Activation Function.srt 11.8 KB
  • 2. Step 1 - Artificial Neural Network/4. The Activation Function.vtt 10.4 KB
  • 2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.mp4 81.9 MB
  • 2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.srt 19.1 KB
  • 2. Step 1 - Artificial Neural Network/5. How do Neural Networks work.vtt 16.8 KB
  • 2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.mp4 112.1 MB
  • 2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.srt 19 KB
  • 2. Step 1 - Artificial Neural Network/6. How do Neural Networks learn.vtt 16.5 KB
  • 2. Step 1 - Artificial Neural Network/7. Gradient Descent.mp4 60.6 MB
  • 2. Step 1 - Artificial Neural Network/7. Gradient Descent.srt 14.2 KB
  • 2. Step 1 - Artificial Neural Network/7. Gradient Descent.vtt 12.3 KB
  • 2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.mp4 67.3 MB
  • 2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.srt 12.2 KB
  • 2. Step 1 - Artificial Neural Network/8. Stochastic Gradient Descent.vtt 10.8 KB
  • 2. Step 1 - Artificial Neural Network/9. Backpropagation.mp4 43.1 MB
  • 2. Step 1 - Artificial Neural Network/9. Backpropagation.srt 7.3 KB
  • 2. Step 1 - Artificial Neural Network/9. Backpropagation.vtt 6.4 KB
  • 3. Step 2 - Convolutional Neural Network/1. Welcome to Step 2 - Convolutional Neural Network.html 430 B
  • 3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.mp4 118 MB
  • 3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.srt 25.3 KB
  • 3. Step 2 - Convolutional Neural Network/10. Softmax & Cross-Entropy.vtt 22.1 KB
  • 3. Step 2 - Convolutional Neural Network/2. Plan of Attack.mp4 21.8 MB
  • 3. Step 2 - Convolutional Neural Network/2. Plan of Attack.srt 5.3 KB
  • 3. Step 2 - Convolutional Neural Network/2. Plan of Attack.vtt 4.7 KB
  • 3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.mp4 108 MB
  • 3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.srt 22.2 KB
  • 3. Step 2 - Convolutional Neural Network/3. What are Convolutional Neural Networks.vtt 19.4 KB
  • 3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.mp4 97.9 MB
  • 3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.srt 23.3 KB
  • 3. Step 2 - Convolutional Neural Network/4. Step 1 - The Convolution Operation.vtt 20.4 KB
  • 3. Step 2 - Convolutional Neural Network/5. Step 1 Bis - The ReLU Layer.mp4 53.4 MB

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