259 questions
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opencv::ml::ANN_MLP: the dimension of its weight matrices does not align with model settings
cv::Ptr<cv::ml::ANN_MLP> mlp = cv::ml::ANN_MLP::create();
int inputlayerSize = imagesData[0].total(); //28*28=784
int hiddenLayerSize = 100;
int outputLayerSize = 10;
cv::Mat ...
1
vote
1
answer
64
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My neural network for MNIST digit recognition learns for one epoch and then stops learning
I am coding an MNIST digit recognition neural network. I thought I was finished but when I run the program to train the MNIST the accurcacy after each epoch is stable. I use MSE as my cost function ...
0
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0
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9
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Problem with Fault classification using MLP in sensor dataset
I am trying to implement MLP BP in a sensor dataset with 9 input variables for FDD and classification problem. My dataset consisting of 40000 datapoints (distributed for all the 3 fault cases).I am ...
2
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0
answers
67
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How can I create a Streamlit app to predict based on my MLP model?
I am trying to create a Streamlit application that predicts hypertension risk based on patient input data using the MLP (Multilayer Perceptron) model I trained. Below is my Keras model code:
from ...
- 21
1
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61
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MLP with data and physics loss
I have the following problem: Training an MLP on 4 inputs while also having an estimation from a physical model (with some error). I now want to compute a combined loss from the physics and data loss ...
-1
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1
answer
101
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I got a problem when implement the backward function for Softmax Layer but I try many ways and still didn't. Can someone help me fix it?
I have the exercise for implement the Softmax function for forward and backward pass but when I run it, it have the bug like this:
terminate called after throwing an instance of 'std::invalid_argument'...
1
vote
1
answer
205
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I implemented a MLP Neural Network in C++, but if i normally compile it doesn't work, if i use the debugger with VS Code it works
I tried to implemt a MLP Neural Network for digit recognition using Eigen3, but if i normally compile and execute it at some point all the parameters (weights, biases, activations) become NaN. Instead ...
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1
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129
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AttributeError: 'MLPClassifier' object has no attribute 'best_validation_score_'
When fitting an MLP neural network with scikit-learn's MLPCLassifier to the dataset iris this super-classic way:
import pandas as pd
import numpy as np
from sklearn.model_selection import ...
2
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0
answers
46
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Time Series Data: Sequence classification with tensorflow - ValueError:
I am currently in the process of using an existing network architecture (TSMixer: An All-MLP Architecture for Time Series Forecasting) for a sequence classification.
The existing structure of my data: ...
- 21
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36
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The value of loss is keeping fluctuating, questions about MLP model in general
I'm building MLP model for ML stuff and I have a basic questions about my model output.
Here's my source code and the result
epochs = 50
for epoch in range(epochs):
for inputs, labels in ...
- 53
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0
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50
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Getting worse results when binary cross-entropy loss is computed from logits in Keras
My model (Keras framework) performs significantly worse when the loss is calculated from logits:
model = keras.Sequential([
keras.Input((input.shape[-1],)),
keras.layers.BatchNormalization(),
...
- 11
-3
votes
1
answer
111
views
Why does the MLP Classifier algorithm gives me some extreme values?
I'm trying the MLP Classifier algorithm to give me insights into analyzing the past 666 results from drawing a single ball from 36 different urns (each urn has 10 balls, numbered 0 to 9) but when I ...
1
vote
1
answer
539
views
How to do (Multi-class or Multi-label) node Classification in Graph Neural Network?
I am very interested in Node Classification using GCN.
But I don't know how it can be applied when there are many types of labels in GNN.
For example, in the case of drugs, detoxification can be ...
- 11
1
vote
1
answer
709
views
How to tune a MLP model with more than 1 hidden layer within the tidymodels framework?
I am building a multilayer perceptron (mlp) model with 2 or 3 hidden layers using the brulee package within the tidymodels framework. How can I tune the hyper-parameters including the number of hidden ...
- 932
3
votes
2
answers
238
views
How to efficiently apply different MLP´s on different areas of my input tensor in pytorch
Given input tensor of size input(8,10) I got three MLP´s(1,2,3) that all have the input size of 10. Furthermore I have a an index tensor mlp_index(8) which determines the mlp I want to apply onto a ...
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