Difference between revisions of "PRIMO.ai"
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*[[Deep Neural Networks]] | *[[Deep Neural Networks]] | ||
*[[Convolutional Neural Networks]] | *[[Convolutional Neural Networks]] | ||
| + | *[[Generative Adversarial Networks (GANs)]] | ||
*[[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]] | *[[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]] | ||
| − | *[[ | + | *[[Sequence to Sequence (Seq2Seq)]] |
*[[Autoencoders / Encoder-Decoders]] | *[[Autoencoders / Encoder-Decoders]] | ||
Revision as of 07:43, 1 May 2018
Contents
Overview
Models
- Deep Learning Roadmap
- Deep Neural Networks
- Convolutional Neural Networks
- Generative Adversarial Networks (GANs)
- Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
- Sequence to Sequence (Seq2Seq)
- Autoencoders / Encoder-Decoders
Techniques & Coding
- Data Preprocessing & Feature Exploration
- Activation Mechanisms
- Backpropagation
- Hyperparameters
- Competitions
- Repositories
- Python
Frameworks
TensorFlow
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)
