Difference between revisions of "Sequence to Sequence (Seq2Seq)"
| Line 1: | Line 1: | ||
[http://www.youtube.com/results?search_query=sequence+to+sequence+learning+Seq2seq+neural+networks YouTube search...] | [http://www.youtube.com/results?search_query=sequence+to+sequence+learning+Seq2seq+neural+networks YouTube search...] | ||
| − | *[[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]] | + | * [http://github.com/NVIDIA/OpenSeq2Seq Open Seq2Seq] |
| − | *[[Autoencoders / Encoder-Decoders]] | + | * [[Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)]] |
| − | *[[Attention Models]] | + | * [[Autoencoders / Encoder-Decoders]] |
| − | *[[Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)]] | + | * [[Attention Models]] |
| − | *[[(Speech to) Text to Process to Text (to Speech) - Chatbot, Virtual Assistance]] | + | * [[Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)]] |
| + | * [[(Speech to) Text to Process to Text (to Speech) - Chatbot, Virtual Assistance]] | ||
<youtube>CMank9YmtTM</youtube> | <youtube>CMank9YmtTM</youtube> | ||
Revision as of 15:33, 22 October 2018
- Open Seq2Seq
- Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
- Autoencoders / Encoder-Decoders
- Attention Models
- Natural Language Processing (NLP), Natural Language Inference (NLI) and Recognizing Textual Entailment (RTE)
- (Speech to) Text to Process to Text (to Speech) - Chatbot, Virtual Assistance
