Questions tagged [multi-output]

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Keras loaded model output is different from the training model output

When I train my model it has a two-dimension output - it is (none, 1) - corresponding to the time series I'm trying to predict. But whenever I load the saved model in order to make predictions, it has ...
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10 views

Validation Accuracy greater than train accuracy, validation loss lesser than training loss MTL

I am training a multi task model using VGG16. Datase: Dataset contain 11K images. There are two tasks: The dataset is imbalanced, 1) PFR classification: 10 classes 0 --- 5776 10-12 --- 1066 6-...
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1answer
22 views

Control which features are used for every task in multioutput classification?

I would like to perform a multiclass-multioutput classification task, on vectorized textual data. I started by using a random forest classifier in a multioutput startegy: ...
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12 views

What toolbox to use to create multi-output random forest(reggression) with custom spltting function at each node?

I am trying to implement "Real Time Head Pose Estimation fromConsumer Depth Cameras" by Fanelli et al. I need to train a random forest(regression) with the following criterion The predicted output is ...
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27 views

Multi-output and heterogeneous models

What models (including software) support multiple outputs/responses which can have their own loss functions? For example, suppose I would like to fit a model with multiple outputs where one output ...
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1answer
16 views

Physical modelling with neural networks - single output + stack ensemble vs multi-output

We are trying to replace an existing physical model (8 inputs/7 outputs) with artificial neural networks. The physics behind the existing model is mainly thermodynamics of humid air for air ...
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2answers
254 views
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1answer
34 views

unique predictions for “multi-label multi-output” classification task

Let’s assume that four participants (A, B, C and D) take on five sport-challenges (e.g. swimming, running, ...). Our goal is to predict the placement of each participant for each challenge. Moreover, ...
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16 views

Combining several Multi-Output-Models into a single Multi-Output-Model

I'm trying to create a k-Nearest-Neighbor based model of 76-dimensional input data $I$ and 44-dimensional output data $O$. Through domain knowledge I know that only certain input dimensions are ...
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14 views

Is it feasable to “predict” 2d (~2x20 array) output using a CNN

I'm trying to generate a "beatmap" (from osu!mania) based on an audio file. To do this, I've applied fast fourier transform (this can change to Mel-frequency cepstrum, but that's not super relevant) ...
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1answer
258 views

How to feed data to multi-output Keras model from a single TFRecords file

I know how to feed data to a multi-output Keras model using numpy arrays for the training data. However, I have all my data in a single TFRecords file comprising several feature columns: an image, ...
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1answer
37 views

Minimal example: Keras functional API & multi-input/multi-output regression

Problem: I have a regression problem, where I want to predict two or more numerical outcomes $y_i$ based on a number of numerical features $X_i$. The model would look like: $$y_{1,i}, y_{2,i} = \...
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2answers
182 views

More output neurons than labels?

When we train a neural network model for a classification problem, we usually have a dense output layer of size equal to the number of labels we have. If the layer size was greater, the model can ...