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4.49 de 5
4.49
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Artificial Intelligence Masterclass

Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL & AI models
Instructor:
Hadelin de Ponteves
15.426 estudiantes matriculados
English Más
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

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.

Introduction

1
Introduction + Course Structure + Demo
2
Learning Paths
3
Your Three Best Resources
4
Download the Resources here
5
Meet your instructors!

Step 1 - Artificial Neural Network

1
Welcome to Step 1 - Artificial Neural Network
2
Plan of Attack
3
The Neuron
4
The Activation Function
5
How do Neural Networks work?
6
How do Neural Networks learn?
7
Gradient Descent
8
Stochastic Gradient Descent
9
Backpropagation

Step 2 - Convolutional Neural Network

1
Welcome to Step 2 - Convolutional Neural Network
2
Plan of Attack
3
What are Convolutional Neural Networks?
4
Step 1 - The Convolution Operation
5
Step 1 Bis - The ReLU Layer
6
Step 2 - Pooling
7
Step 3 - Flattening
8
Step 4 - Full Connection
9
Summary
10
Softmax & Cross-Entropy

Step 3 - AutoEncoder

1
Welcome to Step 3 - AutoEncoder
2
Plan of Attack
3
What are AutoEncoders?
4
A Note on Biases
5
Training an AutoEncoder
6
Overcomplete Hidden Layers
7
Sparse AutoEncoders
8
Denoising AutoEncoders
9
Contractive AutoEncoders
10
Stacked AutoEncoders
11
Deep AutoEncoders

Step 4 - Variational AutoEncoder

1
Welcome to Step 4 - Variational AutoEncoder
2
Introduction to the VAE
3
Variational AutoEncoders
4
Reparameterization Trick

Step 5 - Implementing the CNN-VAE

1
Welcome to Step 5 - Implementing the CNN-VAE
2
Introduction to Step 5
3
Initializing all the parameters and variables of the CNN-VAE class
4
Building the Encoder part of the VAE
5
Building the "V" part of the VAE
6
Building the Decoder part of the VAE
7
Implementing the Training operations
8
Full Code Section
9
The Keras Implementation

Step 6 - Recurrent Neural Network

1
Welcome to Step 6 - Recurrent Neural Network
2
Plan of Attack
3
What are Recurrent Neural Networks?
4
The Vanishing Gradient Problem
5
LSTMs
6
LSTM Practical Intuition
7
LSTM Variations

Step 7 - Mixture Density Network

1
Welcome to Step 7 - Mixture Density Network
2
Introduction to the MDN-RNN
3
Mixture Density Networks
4
VAE + MDN-RNN Visualization

Step 8 - Implementing the MDN-RNN

1
Welcome to Step 8 - Implementing the MDN-RNN
2
Initializing all the parameters and variables of the MDN-RNN class
3
Building the RNN - Gathering the parameters
4
Building the RNN - Creating an LSTM cell with Dropout
5
Building the RNN - Setting up the Input, Target, and Output of the RNN
6
Building the RNN - Getting the Deterministic Output of the RNN
7
Building the MDN - Getting the Input, Hidden Layer and Output of the MDN
8
Building the MDN - Getting the MDN parameters
9
Implementing the Training operations (Part 1)
10
Implementing the Training operations (Part 2)
11
Full Code Section
12
The Keras Implementation

Step 9 - Reinforcement Learning

1
Welcome to Step 9 - Reinforcement Learning
2
What is Reinforcement Learning?
3
A Pseudo Implementation of Reinforcement Learning for the Full World Model
4
Full Code Section

Step 10 - Deep NeuroEvolution

1
Welcome to Step 10 - Deep NeuroEvolution
2
Deep NeuroEvolution
3
Evolution Strategies
4
Genetic Algorithms
5
Covariance-Matrix Adaptation Evolution Strategy (CMA-ES)
6
Parameter-Exploring Policy Gradients (PEPG)
7
OpenAI Evolution Strategy

The Final Run

1
The Whole Implementation
2
Download the whole AI Masterclass folder here
3
Installing the required packages
4
The Final Race: Human Intelligence vs. Artificial Intelligence
5
THANK YOU Video

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Incluye

12 horas de video a pedido
20 artículos
Acceso completo de por vida
Acceso en el móvil y en la televisión
Certificado de finalización
Artificial Intelligence Masterclass
Precio:
$94.99 $20
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