machine-learning

machine-learning

Training LSTMs in Keras with time series of different length

How to set a suitable activation function for an ANN having negative input values

How would someone create a machine learning algorithm that extracts the speaker from a book/novel?

Balance partition a dataset with n weighted features

Should two dependent features be included in the training set of a classification model?

How to know Tensorflow Lite model's input/output feature info?

Classification based on likelihood toward maximum or minimum of survey score

What's the difference between reinforcement learning, deep learning, and deep reinforcement learning? [closed]

How to identify the normalized feature

MxNet has trouble saving all parameters of a network

A light and accurate classifier which is doable on a device with limited sources

How to give an image as label to a keras model? [closed]

What are the Pre-processing steps required before Object annotation in Deep learning using Keras ?

In a SVM model, will results be viable when I decrease the test size to 0.06

anomaly detection with clustering? [closed]

Difference between SSD and Mobilenet

Why is RL called 'reinforcement' learning?

Relation between kernel size and input size in CNN

What is a Tensor kernel in machine learning?

How to continuously improve accuracy of tensorflow object detection model in production flow?

Cleaning text Data For NLP tasks

How to learn and create speech recognition system?

What is the CV model of LightGBM (lgb.cv) and how exactly do I use it?

Embedded-RNN with Keras - Issue with Concatenate

Custom tailored leave-one out cross-validation

XOR Neural Network does not converge

How to predict dataset using NaiveBayes

Dot product error with dimensions

Is Gradient Boosted Tree boosting on the residuals or on the complete training set?

What is the solution for class imbalance in Binary Classification?

In multi-class logistic regression, does SGD one training example update all the weights?

Cost Function & Mean Squared error formulae

Get accuracy from true and predicted values

In Caffe, Does TanHLayer Backward compute error gradient w.r.t. the sigmoid inputs?

System hangs after first epoch training in pytorch

GCE VM can't connect to TPU

How can I determine the input dimensions for a caffe blob

what is epsilon/k how did that come in epsilon greedy algorithm

Machine learning with my car dataset

Machine learning data modeling

Future-proofing feature scaling in machine learning?

Feature engineering for fraud detection

How to know if the feature variables are "good" enough for building a classifer

Entity Type Recogition : Finding an Entity's Dominant Type from its Description

How to compute the cosine_similarity in pytorch for all rows in a matrix with respect to all rows in another matrix

Getting started with pycolab and ai safety gridworlds

Sequential or batch parameters estimation

Apple Vision Framework Identify face

SelectKBest sklearn varying computation times

keras - flow_from_directory function - target_size parameter

Extracting information from web-pages using NER

Customize Spacy NER using IOB tagging scheme for Movie Review dataset

What types of variables to various machine learning techniques support

Machine learning where labelling of training data might not be 100% accurate

What type of neural net to use to distinguish between real and fake images? [closed]

WEKA Changing number of decimal places in predictions

Is there a name for exp(-log loss) as an evaluation metric?

What would be a good loss function to penalize the magnitude and sign difference

NameError:name 'cross_validation' is not defined

How do neural networks learn functions instead of memorize them?

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