Perguntas com a marcação «stanford-nlp»

29
Por que o xgboost é muito mais rápido que o sklearn GradientBoostingClassifier?

Estou tentando treinar um modelo de aumento de gradiente com mais de 50 mil exemplos com 100 recursos numéricos. XGBClassifierlida com 500 árvores em 43 segundos na minha máquina, enquanto GradientBoostingClassifierlida com apenas 10 árvores (!) em 1 minuto e 2 segundos :( Não me preocupei em...

scikit-learn xgboost gbm data-mining classification data-cleaning machine-learning reinforcement-learning data-mining bigdata dataset nlp language-model stanford-nlp machine-learning neural-network deep-learning randomized-algorithms machine-learning beginner career xgboost loss-function neural-network software-recommendation naive-bayes-classifier classification scikit-learn feature-selection r random-forest cross-validation data-mining python scikit-learn random-forest churn python clustering k-means machine-learning nlp sentiment-analysis machine-learning programming python scikit-learn nltk gensim visualization data csv neural-network deep-learning descriptive-statistics machine-learning supervised-learning text-mining orange data parameter-estimation python pandas scraping r clustering k-means unsupervised-learning
10
Relação entre convolução em matemática e CNN

Li a explicação da convolução e a compreendi até certo ponto. Alguém pode me ajudar a entender como essa operação se relaciona à convolução nas redes neurais convolucionais? O filtro é uma função gque aplica

machine-learning neural-network deep-learning cnn convolution machine-learning ensemble-modeling machine-learning classification data-mining clustering machine-learning feature-selection convnet pandas graphs ipython machine-learning apache-spark multiclass-classification naive-bayes-classifier multilabel-classification machine-learning data-mining dataset data-cleaning data machine-learning data-mining statistics correlation machine-learning data-mining dataset data-cleaning data beginner career python r visualization machine-learning data-mining nlp stanford-nlp dataset linear-regression time-series correlation anomaly-detection ensemble-modeling data-mining machine-learning python data-mining recommender-system machine-learning cross-validation model-selection scoring prediction sequential-pattern-mining categorical-data python tensorflow image-recognition statistics machine-learning data-mining predictive-modeling data-cleaning preprocessing classification deep-learning tensorflow machine-learning algorithms data keras categorical-data reference-request loss-function classification logistic-regression apache-spark prediction naive-bayes-classifier beginner nlp word2vec vector-space-models scikit-learn decision-trees data programming