Difference between revisions of "PRIMO.ai"
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*[[Convolutional Neural Networks (CNN)]] | *[[Convolutional Neural Networks (CNN)]] | ||
**[[Residual Neural Networks (ResNet)]] | **[[Residual Neural Networks (ResNet)]] | ||
| − | ==== Generative | + | ==== Generative ==== |
*[[Generative Adversarial Networks (GANs)]] | *[[Generative Adversarial Networks (GANs)]] | ||
| − | ==== Sequence | + | ==== Sequence ==== |
*[[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]] | *[[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]] | ||
**[[Attention Models]] | **[[Attention Models]] | ||
*[[Sequence to Sequence (Seq2Seq)]] | *[[Sequence to Sequence (Seq2Seq)]] | ||
| − | ==== Reinforcement | + | ==== Reinforcement ==== |
| + | Goal-oriented algorithms, which learn how to attain a complex objective (goal) or maximize along a particular dimension over many steps; for example, maximize the points won in a game over many moves. | ||
* [[Deep Reinforcement Learning]] | * [[Deep Reinforcement Learning]] | ||
==== Other Models ==== | ==== Other Models ==== | ||
Revision as of 22:06, 10 May 2018
Contents
Overview
Models
Convolutional
Generative
Sequence
Reinforcement
Goal-oriented algorithms, which learn how to attain a complex objective (goal) or maximize along a particular dimension over many steps; for example, maximize the points won in a game over many moves.
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
