Difference between revisions of "PRIMO.ai"
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== Overview == | == Overview == | ||
* [[How do I leverage AI?]] | * [[How do I leverage AI?]] | ||
| + | * [[Courses]] | ||
| + | * [[History of AI]] | ||
* [[Current State]] | * [[Current State]] | ||
* [[Case Studies]] | * [[Case Studies]] | ||
* [[Capabilities]] | * [[Capabilities]] | ||
| − | * [[ | + | * [[Journey to Singularity]] |
| − | |||
* [[Creatives]] | * [[Creatives]] | ||
| − | |||
== Models == | == Models == | ||
Revision as of 06:16, 9 May 2018
Contents
Overview
- How do I leverage AI?
- Courses
- History of AI
- Current State
- Case Studies
- Capabilities
- Journey to Singularity
- Creatives
Models
Techniques & Coding
- Data Preprocessing & Feature Exploration
- Activation Functions
- Optimizers
- Pooling
- Hyperparameters
- Visualization
- Transfer Learning
- Competitions
- Repositories
- Python
Frameworks
TensorFlow
Other DL Frameworks
Platforms: Machine Learning as a Service (MLaaS)
Amazon AWS
- AWS with TensorFlow
- AmazonML
- Deep Learning Amazon Machine Image (DLAMI)
- DeepLens - deep learning enabled video camera
Microsoft Azure
Google Cloud AI
Research & Development
- Self Learning Artificial Intelligence
- Explainable Artificial Intelligence
- Differentiable Neural Computer (DNC)
- Capsule Networks (CapNets)
- Generative Agents
- Messaging & Routing
- Deep Distributed Q Network Partial Observability
- Deep Reinforcement Learning
- Genetic Algorithms
- Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)
- 3D Simulation Environments
- Other Challenges
