User Vikram Murthy

1 vote

1 answer

797 views

sentence classification with RNN-LSTM - output layer

asked Mar 28, 2017 at 15:28

2 votes

1 answer

489 views

dolly v2 - how does it internally learn to follow instructions

asked Apr 16, 2023 at 12:18

0 votes

1 answer

384 views

query, key and value interpretation in transformers ( encoder - decoder framework )

asked Jun 26, 2023 at 16:31

2 votes

1 answer

341 views

using LSTM encoder decoder framework to generate sentences

asked Aug 14, 2017 at 14:57

3 votes

0 answers

265 views

Fine tune gpt2 via huggingface API for domain specific LM

asked Dec 28, 2019 at 11:10

3 votes

1 answer

261 views

stacking features vs concatenating layers

asked Jan 31, 2020 at 17:08

2 votes

1 answer

73 views

features to help distinguish between document images

asked Jan 31, 2020 at 16:53

1 vote

1 answer

71 views

training neural nets for OCR

asked May 22, 2019 at 14:43

1 vote

1 answer

51 views

using a 2d matrix as a feature input to LSTM / RNN models

asked Jun 25 at 14:26

0 votes

1 answer

44 views

Reinforcement learning for ensemble models

asked Jun 17 at 6:52

2 votes

0 answers

33 views

orientation detection - images of govt. issued documents

asked Jan 16, 2020 at 12:07

0 votes

0 answers

25 views

Applicability of RAG for enterprise datasets

asked Mar 2 at 14:59

Stack Exchange Network

12 Questions

sentence classification with RNN-LSTM - output layer

dolly v2 - how does it internally learn to follow instructions

query, key and value interpretation in transformers ( encoder - decoder framework )

using LSTM encoder decoder framework to generate sentences

Fine tune gpt2 via huggingface API for domain specific LM

stacking features vs concatenating layers

features to help distinguish between document images

training neural nets for OCR

using a 2d matrix as a feature input to LSTM / RNN models

Reinforcement learning for ensemble models

orientation detection - images of govt. issued documents

Applicability of RAG for enterprise datasets