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Start Your Free Trial Today >>Enter the new era of Hybrid AI Models optimized by Deep NeuroEvolution, with a complete toolkit of ML, DL, and AI models
Today, we are bringing you the king of our AI courses:
The Artificial Intelligence MASTERCLASS
Are you keen on Artificial Intelligence? Do you 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!
This course is exciting and packed with AI models.
The course is structured the following 11 steps:
Step 1 - Artificial Neural Network
Step 2 - Convolutional Neural Network
Step 3 - AutoEncoder
Step 4 - Variational AutoEncoder
Step 5 - Implementing the CNN-VAE
Step 6 - Recurrent Neural Network
Step 7 - Mixture Density Network
Step 8 - Implementing the MDN-RNN
Step 9 - Reinforcement Learning
Step 10 - Deep NeuroEvolution
The Final Run
Donāt wait to join us on this EPIC journey in mastering the future of the AI - the hybrid AI Models.
$35
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
$157
/ MonthAccelerate your Career and boost your Earning Potential with our Expert Instructors & Community! What Youāll Unlock: - š 40+ Courses (over 200 hours!) - š 17 Specialized Career Paths - š Quizzes and Practice Activities - š Certificates for Courses & Career Paths - š Prizes for Learning - š§Ŗ Weekly Live Labs (plus recordings!) - šÆ Monthly Missions to practice even more - š¼ Monthly Career Booster Events - š¬ Full access to the SDS Community - ā” Monthly Speed Networking - š„ Monthly Resume Clinics - š„ Group Mentorship Program Plus, Pro Plan perks just for you: - š A Personalized Career Path built around your goals - š§āš« 1-on-1 Mentoring Sessions every month - āļø Personalized Resume Reviews "In just a few months of learning at SDS, I landed a Data Analyst job!" ā Sanaz Afshar, California
Course content
Welcome to Step 5 - Implementing the CNN-VAE
Introduction to Step 5
08:11
Initializing All the Parameters and Variables of the CNN-VAE Class
13:54
Building the Encoder Part of the VAE
19:34
Building the "V" Part of the VAE
10:41
Building the Decoder Dart of the VAE
10:40
Implementing the Training Operations
18:34
Full Code Section
The Keras Implementation
Welcome to Step 8 - Implementing the MDN-RNN
Initializing All the Parameters and Variables of the MDN-RNN Class
13:42
Building the RNN - Gathering the Parameters
09:54
Building the RNN - Creating an LSTM Cell With Dropout
16:15
Building the RNN - Setting up the Input, Target, and Output of the RNN
14:54
Building the RNN - Getting the Deterministic Output of the RNN
11:56
Building the MDN - Getting the Input, Hidden Layer and Output of the MDN
13:22
Building the MDN - Getting the MDN Parameters
10:57
Implementing the Training Operations (Part 1)
15:31
Implementing the Training Operations (Part 2)
13:34
Full Code Section
The Keras Implementation