machine-learning

machine-learning

Custom loss function for U-net in keras using class weights: `class_weight` not supported for 3+ dimensional targets

What's the different between Objective functions and xgboost models?

Why it's only working with setting kernel: 'rbf' in SVM Classifier?

Scaling data with large range in Machine learning preprocessing

What is the definition of the terms SPATIAL and TEMPORAL in terms of statistics, data science or machine learning

Confusion matrix and ROC curve

Why sigmoid will make gradient all positive or negative

Can a Neural Network learn a simple interpolation?

LSTM and labels

How do I make script to teach machine how to play game like this? (Youtube)

how to create a recordio format with the custom dataset

Mnemonic Generation Using LSTM's | How do I make sure my Model Generates Meaningful Sentence Using a Loss Function? [closed]

Implementation of AlexNet in Keras on cifar-10 gives poor accuracy

Making a confusion matrix with numbers in each box

RNN: What is the use of return_sequences in LSTM layer in Keras Framework

How to conclude, regression results can't be improved anymore?

How to judge whether model is overfitting or not

How to calculate partial derivatives of error function with respect to values in matrix

Low CPU Utilization of GCP

Why theta*X not theta'*X in practical?

How does SelectFromModel() work from from_model.py?

Name generation from human rules

SMOTE oversampling for anomaly detection using a classifier

How would you describe the connectivity of coordinates?

GlobalAveragePooling with Masking when mask is not equal to zero

Extract SVM assigned values against each instance in WEKA

Interpreting rawPrediction from Spark ML LinearSVC

Why when using this simple model with multiple outputs does Keras complain about a lack of gradients?

Dimensions of LSTM variant in Deep Mind's Differentiable Neural Computer (DNC)

How to use to_categorical to convert [[4,7,10],[10,20,30]] to one hot encoding

Test accuracy is greater than train accuracy what to do?

Why network model average could improve performance on test set?

Best output activation function for binary mask classification

Turi Create - stuck at “Starting brute force nearest neighbors model training”

Complex or several simple models must be used?

NLP model's accuracy stuck on 0.5098 while training

Which classifier can classify according to non axis parallel decision boundaries?

Defining states, Q and R matrix in reinforcement learning

Classifying multivariate time-series data from multiple sites

Machine Learning - training data vs 'has to be classified' data

Cloud labels affecting % testing accuracy?

Gradient Descent Octave Code

why the kernel size become greater while the spatial size of feature map goes down in inception network？

trained model on Kubernetes

How to deal with binary classification with large difference in label counts

hypothesis function space in decision tree

How to infer surprisingly "missing" data in a large set of strings. Or nerds do unique (but sane) baby names

Are there any raster methods in supervised learning?

How to update the output of activation function after each batch ends, using Keras?

using LSTM on time series with different intervals

Time series forecasting (DeepAR): Prediction results seem to have basic flaw

Is it possible to train a binary classification neural network by only feeding it with input from only one class?

Watson Deep Learning: Experiment Builder, Command Line Interface and Python Client - maturity and features

How do i represent the chromosome using Genetic Algorithm?

What's a "good" value for the loss function of a DL model like yolo?

How to identify the modes in a (multimodal) continuous variable

one hot encoding of output labels

Categorical encoder missing out levels

How to set 'gain' as Feature Importance measure in feature_importances_ for LightGBM classifer in sklearn:: LGBMClassifier()

Is LIBSVM suitable for many categories and samples?

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