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Mirko Job


Last seen: alrededor de 1 año hace |  Con actividad desde 2018

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Managing different lengths in time series for sequence-to-sequence classification.
Hello, I would like to ask a general opinion regarding the example displayed in: https://it.mathworks.com/help/deeplearning/u...

más de 4 años hace | 0 respuestas | 0

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Why there is the need to train CNN and LSTM separately before combining them?
Looking for example about the possibility of using CNN+LSTM classification i went through this example: https://it.mathworks.co...

más de 4 años hace | 1 respuesta | 0

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How to deal with Time Sequence Inputs for 1D Convolutional-LSTM networks.
I am trying to combine two approach for Time Sequence Classification using deep learning. The first one implement LSTM networks...

más de 4 años hace | 0 respuestas | 0

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What is the difference between formatted and unformatted dlarrays?
I am trying to implement a custom deeplearning training loop and i noticed that starting from: dlY1; % Un...

más de 4 años hace | 1 respuesta | 0

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Sequence to Sequence Classification with Deep Learning CNN+LSTM
I was looking through the possible implementation of sequence classification using deep-learning. There are pllenty of example ...

más de 4 años hace | 1 respuesta | 0

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Which are the training examples in a sequence classification?
I am implementing a Sequence-to-Sequence Classification. As an example here it is the documentation from mathworks: https://it....

casi 5 años hace | 1 respuesta | 1

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Using time-delay network to classify the actual output.
Is it possible to use a time-delay net to classify a set of features based on their actual and past values? To be specific i am...

casi 5 años hace | 0 respuestas | 0

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How to reduce the effect of a selected input on training a neural network?
Hello everybody, I am trying to implement a recurrent neural network to classify the 4 phases of a movement. The Output(t) i...

alrededor de 5 años hace | 0 respuestas | 0

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Using Recurrent neural networks for real-time pattern recognition.
Good evening everybody, I'm developing a Neural Network (patternnet) for recognition of phases of a standardized movement compo...

alrededor de 5 años hace | 0 respuestas | 0

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parpool warning: A task was unexpectedly found in state: Unavailable.
You have to delete the folder "local_scheduler_data" from "C:\Users\[your pc]\AppData\Roaming\MathWorks\MATLAB"

alrededor de 5 años hace | 2

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Choosing the best set of initial weights of a neural network to train all dataset
I am developing a neural network for pattern recognition in Matlab. Currently: 1) I divide my dataset into 6 folds (5 folds CV...

más de 5 años hace | 1 respuesta | 0

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ACQUIRING TWO SIGNAL SIMULTANEOUSLY TRHOUGH GUI: TRIGGERING VIA SOFTWARE
Hello everyone, I am trying to collect data from two type of sensors: GRF from a Force Plate and accelerometric data from XSENS...

más de 5 años hace | 0 respuestas | 0

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Training a Neural Net on the entire dataset after model selection on K-fold Cross Validation: How to overcome overfitting if i don't have a validation and test set?
Hi everyone, I am working on artificial neural networks for application in Movement Analysis. I started using Neural Networks ...

más de 5 años hace | 0 respuestas | 0

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Crossentropy loss function - What is a good performance goal?
Good Afternoon, Looking around ANSWER and exploring GOOGLE GROUPS i found this method by Dr. Greg Heath to define a valid train...

casi 6 años hace | 1 respuesta | 0

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Do a leave one out cross-validation in patternnet
Good Morning, I have a particular set of data composed by data from inertial sensors to recognize a specific movement pattern. ...

casi 6 años hace | 1 respuesta | 0

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Leave One Out Cross Validation Hyperparameter Tuning
Hi, I have a dataset of motion data from different subjects which is used to do activity recognition. To make u understand som...

casi 6 años hace | 0 respuestas | 0

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