Difference between revisions of "PRIMO.ai"
(→Research & Development) |
|||
| Line 56: | Line 56: | ||
== Research & Development == | == Research & Development == | ||
| − | |||
| − | |||
| − | |||
* [[Self Learning]] | * [[Self Learning]] | ||
* [[Explainable Artificial Intelligence]] | * [[Explainable Artificial Intelligence]] | ||
| Line 66: | Line 63: | ||
* [[Deep Reinforcement Learning]] | * [[Deep Reinforcement Learning]] | ||
* [[Genetic Algorithms]] | * [[Genetic Algorithms]] | ||
| − | * [[Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)]] | + | * [[Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)]] |
== Other == | == Other == | ||
Revision as of 07:54, 30 April 2018
Contents
Overview
Models
- Deep Learning Roadmap
- Deep Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
- Generative Adversarial Networks (GANs)
Techniques & Coding
- Data Preprocessing & Feature Exploration
- Activation Mechanisms
- Backpropagation
- Hyperparameters
- Python
- Keras
- Competitions
- Repositories
Frameworks
TensorFlow
Platforms: Machine Learning as a Service (MLaaS)
Amazon AWS
Microsoft Azure
Google Cloud AI
Research & Development
- Self Learning
- Explainable Artificial Intelligence
- Capsule Networks (CapNets)
- Messaging & Routing
- Deep Distributed Q Network Partial Observability
- Deep Reinforcement Learning
- Genetic Algorithms
- Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)