All Questions
Tagged with keras machine-learning
584
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Keras multi-label model predictions always sum to ~1
I believe I've configured this model correctly for multi-label classification, but it would seem that it insists on behaving like a multi-class model, since the predictions it outputs always sum to 1 (...
- 101
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1
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57
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Is it possible to train a neural network to feed into a Random Forest Classifier or any other type of classifier like XGBoost or Decision Tree?
I want to create a model architecture to predict future stock price movement as such:
The Goal of this model is to predict if the price will go UP or DOWN within the next 3 months.
I have tried a few ...
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2
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1
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51
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Custom loss function in python
I am trying to implement a custom loss function inspired by https://arxiv.org/pdf/2305.10464.pdf. That is:
$ L(\mathbf{x}) = (1-y) \left\lVert \mathbf{x_{true} - \mathbf{x_{pred}}} \right\rVert^2 + y \...
- 21
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18
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How to make my validation plots more stable and improve R2 metric?
I'm working on predicting 4 numeric values basing on signal spectrum (spectrum is represented as an array of 800 numeric values in scale 0 to 1). The input values are scaled by using StandardScaler. ...
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20
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Keras DNN outputs the same value over and over
I'm creating an ensemble of NNs with the same architecture, but each NN only outputs one value when given X_test data. The data (continuous values transformed to be [-1,1]) yields results as expected ...
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10
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I'm trying to build image search like Google Photo-Image with face is given to model & it'll get all the images in database in which he/she is present
When a user upload a selfie, the model search same person in dataset of images of multiple persons and get back all the images in which that person is present.
Step 1: From dataset of images I detect ...
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1
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1
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139
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activation=tf.keras.activations.relu vs activation='relu'
Both models are for binary classification problems
Model 1
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49
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Confusion with tensorflow's Sequential Dense Layers
I'm working on a regression probem using Tensorflow, and have created two models with slight differences in their first Dense layer.
The Models
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25
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How to choose the right typt of ANN architecture for a regression model
So, im working on a project where i am leveraging ai to get accurate price predictions in terms of houses and real estate properties. I would like to use an artificial neural network so now i have to ...
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35
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LSTM - How can I predict the status an hour before in advance?
I’m very beginner, I’m trying to design a prediction model for forecasting the status one hour ahead.I have 150 sample data, each consisting of of 24 hours of time-series data with multiple features (...
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47
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L2 regularisation included in Validation Loss is counter intuitive?
I have been trying to tune hyperparameters for a neural network - I noticed the validation data loss for tensorflow in particular includes the L2 regularisation loss as a measure of the total loss.
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- 101
1
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108
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Deep learning model produces very different results when classifying the same samples
I'm trying to design a simple deep learning application for biometric system verification, but every time I run the application I get very different results and I can't figure out why. I don't use ...
- 11
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192
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Get graph execution error for BiLSTM and LSTM on keras
I want to use BiLSTM mode for text classification tasks. I use a data generator to get already batched and embedded files that have been split into 64 different files(for training) and 4 files each ...
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10
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Derive Keras Cosine Restarts Scheduler Formula from Source Code
I used Keras implementation of the cosine restarts algorithm. I need to know the exact formula of the algorithm for my LaTeX manuscript. The documentation is here. The implementation differs (in terms ...
- 101
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48
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Multi input model tensorflow with fixed data as input
I am tring to implement the following architecture.
alpha and beta are fixed matrices, they are matrices I want to input on every forward pass. Meaning for every batch they should be the same My ...
