photo

Shubham Baisthakur


Last seen: 6 mois il y a Actif depuis 2023

Followers: 0   Following: 0

Statistiques

  • Thankful Level 3

Afficher les badges

Feeds

Afficher par

Question


Data handling in LSTM custom loops
I have written a custom loop to train an LSTM model for sequence-to-sequence regression. I am passing the training data as a cel...

8 mois il y a | 1 réponse | 0

1

réponse

Question


Low frequency response from LSTM model
How to get low frequency output from LSTM network? Following is the time history response of my input features, which has relati...

9 mois il y a | 1 réponse | 0

1

réponse

Question


Minimum Redundancy Maximum Relevance (MRMR) Algorithm for feature selection of regression models
Why does the Matlab's page on feature selection mention that MRMR method can be used only for classification models, when Matlab...

9 mois il y a | 1 réponse | 0

1

réponse

Question


Why Are Hidden State and Cell State Vectors Zero After Training an LSTM Model with trainNetwork Functionality?
I am training an LSTM model using the trainNetwork functionality and follwing is the architecture of my model: layers = [ ....

10 mois il y a | 1 réponse | 0

1

réponse

Question


How to create Custom Regression Output Layer with multiple inputs for training sequence-to-sequence LSTM model?
For the neural network architecture I am using for my problem, I would like to define a Regression Output Layer with a custom lo...

environ un an il y a | 1 réponse | 0

1

réponse

Question


Custom loss function with LSTM for Physics Informed Machine Learning
I want to train a LSTM model to prdict time history response of a dynamical system. I have defined a physics based loss function...

environ un an il y a | 1 réponse | 0

1

réponse

Question


How to use a neural network model generated using feedforwardnet in code generation?
I am getting an error: "Object type "Network" is not supported for code generation". I have tried using coder.loadDeepLearningNe...

plus d'un an il y a | 1 réponse | 0

1

réponse