Tag for questions about Multi layer perceptrons (MLP). It is a class of feedforward artificial neural network. Multilayer perceptrons are sometimes colloquially referred to as "vanilla" neural networks, especially when they have a single hidden layer
Questions tagged [mlp]
275 questions
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Sklearn update a classifier with one or two new observations
I've got a scikit-learn classifier clf which has already been fitted with some data, and there's enough observations that the initial .fit(X, y) took a while (>30s).
I get new datapoints every second, with which I'd like to update the model. Is it…
beyarkay
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Cannot improve the accuracy of my Multilayer Perceptron (MLP) model in classification
I am trying to predict labels for building performance: {1, 0}. Since this is a binary classification, I tried sigmoid and identity activation functions with Xavier initialization. However, I cannot improve the accuracy of my models as the loss and…
Said Bolluk
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Are hidden layers of sklearn's MLPClassifier() the same as Dense layer of keras/tensorflow?
Theoretically and practically, are the hidden layers of MLPclassifier (refer to hidden_layer_sizes)
mlp = MLPClassifier(hidden_layer_sizes=(4, 3, 2, 1),
max_iter = 100, activation = 'relu',
solver =…
nidzytryingtocode
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Is it possible to know number of iteration of MLPClassifier?
I tried to build a mlp classifier using GeneticSelectionCV and sklearn. I fixed the max_iter to 25000. Now I would like to know the exact number of iterations. The code I used is given below.
from genetic_selection import GeneticSelectionCV
import…
Md. Shafayat Jamil
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MLP Classifier in SKlearn to include "softmax" activation
I am trying to fit MLP model but I would like to use 'SOFTMAX' as an output layer. Could you please let me know how can I incorporate the same?
Add
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what does mean numbers in paranthesis of multi layer perceptron like (64,128,1024)
Hello every one i'm reading pointnet papper but i cant understand the numbers of network architecture can you explain this to me.
enter image description here
mehrdadjavadi
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How to avoid overfitting with keras?
def build_model():
model = keras.models.Sequential()
model.add(keras.layers.Flatten(input_shape=[32,32,3]))
keras.layers.Dropout(rate=0.2)
model.add(keras.layers.Dense(500, activation="relu"))
keras.layers.Dropout(rate=0.2)
…
Limin
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What does it mean when the test scores are more than 100?
The MLP I created when tested on test sets shows a test score more than 100 multiple times. Could there be any mistake in coding or the data entered?
My code:
model = Sequential()
model.add(Dense(3, input_dim = 6))
model.add(Dense(3,…
Kiran
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How much loss between training and testing could be bearable
I am training a model which do classification between 3 classes. I have 120 images only per class and there are total of 3 classes. I have trained the model but the difference between train and test accuracy is high. What it indicates whether model…
Hamza
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k-fold cross validation with MLP algorithm
I have a dataset that is divided into training and test parts. My task is to train it and evaluate my model using k-fold cross validation. I'm a bit confused with the task statement.
As far as I know the point of k-dold cross validation is to…
Kosh
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Gridsearch CV give different best parameters when trained in different data
I am looking for the best way to tune a Randomforest Classifier and MLP Classifier in sklearn. The problem is that the Grisearch CV gives me slightly different best parameters each time I run my code. I assume that this happens because each time my…
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Why two of my classifiers cannot predict many labels?
I try to compare the classifiers RandomForest (RF), SupportVectorMachine (SVM) and Multilayer Perceptron (MLP) looking at their classification_report. It is a multi classification on categorical data.
Same data (378443 entries, 7 columns)
same …
Sel
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Understanding hidden layers, perceptron, MLP
I am new to AI, i am trying to understand the concept of perceptron, hidden layers, MLP etc.
in below code i want to understand how many total layers we have including input and output, number of hidden layers
embed_layer =…
Kevin
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AttributeError: 'tuple' object has no attribute 'fit'
I want to use bagging with XGBoost an Mlpregression
If i use one algorithm it will work properly
XGBRegressor_bagging_model = BaggingRegressor(XGBRegressor_model,
n_estimators=100, …
Pixyy
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How to deal with dataset of different features?
I am working to create an MLP model on a CEA Classification Dataset (Binary Classification). Each sample contains different 4 features, such as resistance and other values, each in its own range (resistance in hundreds, another in micros, etc.). I…
Zelreedy
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