All the courses are regularly updated accoding to the industry out there !
Artificial intelligence already powers many of our interactions today. When you ask Siri for directions, peruse Netflix’s recommendations, or get a fraud alert from your bank, these interactions are led by computer systems using large amounts of data to predict your needs.
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Here are some of the reasons why AI is revolutionary: 1. AI automates repetitive learning and discovery through data. 2. AI adds intelligence to existing products. 3. AI adapts through progressive learning algorithms to let the data do the programming. 4. AI analyzes more and deeper data using neural networks that have many hidden layers. 5. AI achieves incredible accuracy through deep neural networks – which was previously impossible. 6. AI gets the most out of data.
We Believe That Humans Learn Best By Experiencing Things And Here We Let You Experience making your AI and finding out the rules practically
- Practical live implementation
- Agent building
- Several environments
- State of the Art Computer vision
All the courses are regularly upadted accoding to the industry out there !
- Reinforced Learning
»Upper confidence bound
»Optimistic Initial Value
- Class Imbalance and Grid Search
- Heuristic Search
»Local Search Technique
»Constraint Satisfaction Problem
»Region Coloring Problem
- Advance Game Playing
- Advance Computer Vision Part-2
»Introduction to Motion
- Deep Reinforced Learning
»The Bellman Equation
»Markov Decision Process
- Affinity Propagation Model
»Clustering concept in AI
»Affinity Propagation algorithm
- Introduction to Game Playing
»The Minimax Algorithm
»MIN & MAX Levels
»The Branching Factor
- Advance Computer Vision Part-1
»Advance CNN Architectures
»YOLO – You Only Look Once
»Long Short-Term Memory Networks
- Introduction to GANS
»Generative adversarial networks
»SSGAN - Secure Steganograpy Based on GAN
»CGAN – Conditional GAN
»BEGAN - Boundary Equilibrium GAN
- Industry Based Projects
1. Build a Game Playing Agent
Every day we hear about AI beating human in some game like Alpha GO and Alpha Star which are made by deep mind just shows how good AI’s have become. In this project we will be building an AI which can play games like us Humans and maybe even better.
2. Generating Images with GAN
Now a day’s images like this all over the internet created by Deep Fake which are hard to distinguish from the real ones and the Apps like FaceApp are gaining more and more popularity so why not create our own image generator. In this project we will try to create our own GAN image generator.
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