Difference between revisions of "PRIMO.ai"
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* [http://www.amazon.com/gp/product/1978487525/ref=oh_aui_detailpage_o00_s00?ie=UTF8&psc=1 The Deep Learning AI Playbook: Strategy for Disruptive Artificial Intelligence | Carlos E Perez] | * [http://www.amazon.com/gp/product/1978487525/ref=oh_aui_detailpage_o00_s00?ie=UTF8&psc=1 The Deep Learning AI Playbook: Strategy for Disruptive Artificial Intelligence | Carlos E Perez] | ||
* [http://businesscentricmethodology.com/ Business-Centric Methodology] | * [http://businesscentricmethodology.com/ Business-Centric Methodology] | ||
| − | * [[Getting Started]] | + | * [[Getting Started - MediaWiki]] |
Revision as of 19:09, 8 May 2018
Contents
Overview
Models
Techniques & Coding
- Data Preprocessing & Feature Exploration
- Activation Functions
- Optimizers
- Pooling
- Hyperparameters
- Visualization
- Transfer Learning
- Competitions
- Repositories
- Leveraging AI
- 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
- 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
