User Lafayette

3 votes

Training an LSTM to track sine waves

answered May 22, 2018 at 14:02

3 votes

The loss and accuracy of this LSTM both drop to nearly 0 at the same epoch

answered Oct 3, 2019 at 10:03

2 votes

Accepted

Multilingual Bert sentence vector captures language used more than meaning - working as interned?

answered Jan 7, 2020 at 9:59

2 votes

Accepted

Understanding LSTM behaviour: Validation loss smaller than training loss throughout training for regression problem

answered Jun 11, 2018 at 16:59

1 vote

How to implement "one-to-many" and "many-to-many" sequence prediction in Keras?

answered Jul 30, 2018 at 13:45

1 vote

Can CNN be used with 3d dataset

answered Jul 31, 2018 at 16:46

1 vote

Accepted

NGBoost and overfit - which model is used?

answered Jan 6, 2021 at 9:18

1 vote

Accepted

Adapting the Keras variational autoencoder for denoising images

answered Jan 30, 2018 at 15:05

1 vote

NLP text autoencoder that generates text in poetic meter

answered Feb 4, 2019 at 14:08

0 votes

Autoencoder for anomaly detection from feature vectors

answered Jan 29, 2018 at 9:31

0 votes

1d time series to time series approximation using deep learning

answered Jul 31, 2018 at 16:56

Stack Exchange Network

11 Answers

Training an LSTM to track sine waves

The loss and accuracy of this LSTM both drop to nearly 0 at the same epoch

Multilingual Bert sentence vector captures language used more than meaning - working as interned?

Understanding LSTM behaviour: Validation loss smaller than training loss throughout training for regression problem

How to implement "one-to-many" and "many-to-many" sequence prediction in Keras?

Can CNN be used with 3d dataset

NGBoost and overfit - which model is used?

Adapting the Keras variational autoencoder for denoising images

NLP text autoencoder that generates text in poetic meter

Autoencoder for anomaly detection from feature vectors

1d time series to time series approximation using deep learning