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Recent questions tagged machine
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machine learning - Why use softmax only in the output layer and not in hidden layers?
Most examples of neural networks for classification tasks I've seen use the a softmax layer as output activation ... this, something to quote? See Question&Answers more detail:os...
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machine learning - PCA first or normalization first?
When doing regression or classification, what is the correct (or better) way to preprocess the data? Normalize ... or some other techniques. See Question&Answers more detail:os...
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machine learning - Random projection algorithm pseudo code
I am trying to apply Random Projections method on a very sparse dataset. I found papers and tutorials about Johnson ... stupid to get the idea. See Question&Answers more detail:os...
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machine learning - Approximating the sine function with a neural network
I have implemented a simple neural network framework which only supports multi-layer perceptrons and simple ... advanced learning method? See Question&Answers more detail:os...
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machine learning - How does the back-propagation algorithm deal with non-differentiable activation functions?
While digging through the topic of neural networks and how to efficiently train them, I came across the ... via the backpropagation algorithm? See Question&Answers more detail:os...
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machine learning - When should one use LinearSVC or SVC?
From my research, I found three conflicting results: SVC(kernel="linear") is better LinearSVC is better Doesn' ... 't LinearSVC outperform SVC? See Question&Answers more detail:os...
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machine learning - How to interpret Poolallocator messages in tensorflow?
While training a tensorflow seq2seq model I see the following messages : W tensorflow/core/common_runtime/gpu/pool_allocator ... CUDA ,12 GB GPU See Question&Answers more detail:os...
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Oct 24, 2021
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machine learning - How does binary cross entropy loss work on autoencoders?
I wrote a vanilla autoencoder using only Dense layer. Below is my code: iLayer = Input ((784,)) layer1 = ... for two values of output, right? See Question&Answers more detail:os...
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machine learning - Difference between standardscaler and Normalizer in sklearn.preprocessing
What is the difference between standardscaler and normalizer in sklearn.preprocessing module? Don't both do the ... and scale using deviation? See Question&Answers more detail:os...
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machine learning - Shuffling training data with LSTM RNN
Since an LSTM RNN uses previous events to predict current sequences, why do we shuffle the training data? Don ... on shuffled training data? See Question&Answers more detail:os...
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machine learning - What is the difference between Keras model.evaluate() and model.predict()?
I used Keras biomedical image segmentation to segment brain neurons. I used model.evaluate() it gave me Dice ... these two values different? See Question&Answers more detail:os...
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Oct 24, 2021
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machine learning - Difference between Keras model.save() and model.save_weights()?
To save a model in Keras, what are the differences between the output files of: model.save() model.save_weights ... )? What are the differences? See Question&Answers more detail:os...
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Oct 24, 2021
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machine learning - How to calculate prediction uncertainty using Keras?
I would like to calculate NN model certainty/confidence (see What my deep model doesn't know) - when NN ... other method yields better results). See Question&Answers more detail:os...
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Oct 24, 2021
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machine learning - How many principal components to take?
I know that principal component analysis does a SVD on a matrix and then generates an eigen value matrix. To ... from the eigen value matrix? See Question&Answers more detail:os...
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machine learning - gradient descent seems to fail
I implemented a gradient descent algorithm to minimize a cost function in order to gain a hypothesis for determining whether ... *m)) * tmp end See Question&Answers more detail:os...
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Oct 24, 2021
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machine learning - Meaning of an Epoch in Neural Networks Training
while I'm reading in how to build ANN in pybrain, they say: Train the network for some epochs. Usually you ... does it mean one feature vector? See Question&Answers more detail:os...
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Oct 24, 2021
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machine learning - How to interpret almost perfect accuracy and AUC-ROC but zero f1-score, precision and recall
I am training ML logistic classifier to classify two classes using python scikit-learn. They are in an extremely ... 0]] AUC= 0.4999899989 See Question&Answers more detail:os...
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machine learning - How do I solve overfitting in random forest of Python sklearn?
I am using RandomForestClassifier implemented in python sklearn package to build a binary classification model. The ... Thanks in advance! See Question&Answers more detail:os...
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machine learning - Dealing with unbalanced datasets in Spark MLlib
I'm working on a particular binary classification problem with a highly unbalanced dataset, and I was wondering ... similar issues. Thanks, See Question&Answers more detail:os...
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Oct 24, 2021
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machine learning - Higher validation accuracy, than training accurracy using Tensorflow and Keras
I'm trying to use deep learning to predict income from 15 self reported attributes from a dating site. We' ... Has anyone seen similar results? See Question&Answers more detail:os...
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machine
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machine learning - pytorch - connection between loss.backward() and optimizer.step()
Where is an explicit connection between the optimizer and the loss? How does the optimizer know where to get the ... .step() # Gardient Descent See Question&Answers more detail:os...
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Oct 24, 2021
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machine learning - How can I classify data with the nearest-neighbor algorithm using Python?
I need to classify some data with (I hope) nearest-neighbour algorithm. I've googled this problem and found ... implementing k-NN using Python? See Question&Answers more detail:os...
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Oct 24, 2021
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606
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machine learning - F1 Score vs ROC AUC
I have the below F1 and AUC scores for 2 different cases Model 1: Precision: 85.11 Recall: 99.04 F1: 91. ... use AUC and choose Model 2. Thanks See Question&Answers more detail:os...
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630
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machine learning - Query regarding k-means clustering in MATLAB
I have a very large amount of data in the form of matrix.I have already clustered it using k- ... printing the centroid location automatically. See Question&Answers more detail:os...
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Oct 24, 2021
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machine learning - Predict using randomForest package in R
How can I use result of randomForrest call in R to predict labels on some unlabled data (e.g. real world input to be ... 1;1;a; 2;1;2;b; See Question&Answers more detail:os...
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machine
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machine learning - Try to simulate a neural network in MATLAB by myself
I tried to create a neural network to estimate y = x ^ 2. So I created a fitting neural network and gave it ... how can I scale out my result? See Question&Answers more detail:os...
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Oct 24, 2021
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machine learning - R - Calculate Test MSE given a trained model from a training set and a test set
Given two simple sets of data: head(training_set) x y 1 1 2.167512 2 2 4.684017 3 3 3.702477 4 4 9 ... = mean(model$residuals^2) test_MSE = ? See Question&Answers more detail:os...
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machine learning - scikit-learn impute mean of feature within groups of nominal value in another feature
I want to impute the mean of a feature but only calculate the mean based off other examples that have the same ... an answer when it's finished. See Question&Answers more detail:os...
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