Shubham Baisthakur

Last seen: 7ヶ月前 | 2023 年からアクティブ

Followers: 1 Following: 0

統計

Feeds

質問

stftLayer error: "Size of input in T dimension must be greater than or equal to window length" despite correct input shape
Hi everyone, I'm encountering a confusing issue when using the stftLayer in MATLAB's Deep Learning Toolbox. I'm trying to pass ...

7ヶ月前 | 1 件の回答 | 1

1

回答

質問

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...

約2年前 | 1 件の回答 | 0

1

回答

質問

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...

約2年前 | 1 件の回答 | 0

1

回答

質問

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...

約2年前 | 1 件の回答 | 0

1

回答

質問

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 = [ ....

約2年前 | 1 件の回答 | 0

1

回答

質問

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...

2年以上前 | 1 件の回答 | 0

1

回答

質問

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...

2年以上前 | 1 件の回答 | 0

1

回答

質問

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...

3年弱前 | 1 件の回答 | 0

1

回答