Difference between revisions of "PRIMO.ai"
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**[[Convolutional Neural Networks]] | **[[Convolutional Neural Networks]] | ||
***[[Residual Neural Networks (ResNet)]] | ***[[Residual Neural Networks (ResNet)]] | ||
| − | *[[Generative Adversarial Networks (GANs)]] | + | **[[Generative Adversarial Networks (GANs)]] |
| − | *[[Sequence to Sequence (Seq2Seq)]] | + | **[[Sequence to Sequence (Seq2Seq)]] |
| − | **[[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]] | + | ***[[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]] |
| − | **[[Autoencoders / Encoder-Decoders]] | + | ***[[Autoencoders / Encoder-Decoders]] |
| − | **[[Attention Models]] | + | ***[[Attention Models]] |
== Techniques & Coding == | == Techniques & Coding == | ||
Revision as of 09:01, 6 May 2018
Contents
Overview
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
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)
- 3D Simulation Environments
- Other Challenges
