Difference between revisions of "PRIMO.ai"
(→Models) |
m (→Models) |
||
| Line 22: | Line 22: | ||
*[[Sequence to Sequence (Seq2Seq)]] | *[[Sequence to Sequence (Seq2Seq)]] | ||
==== Reinforcement ==== | ==== Reinforcement ==== | ||
| − | |||
* [[Deep Reinforcement Learning]] | * [[Deep Reinforcement Learning]] | ||
==== Other Models ==== | ==== Other Models ==== | ||
Revision as of 22:08, 10 May 2018
Contents
Overview
Models
Convolutional
Generative
Sequence
Reinforcement
Other 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
- Genetic Algorithms
- Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)
- 3D Simulation Environments
- Other Challenges