Perguntas com a marcação «sampling»

12
Quantas células LSTM devo usar?

Existem regras práticas (ou regras reais) referentes à quantidade mínima, máxima e "razoável" de células LSTM que devo usar? Especificamente, estou relacionado ao BasicLSTMCell da TensorFlow e à num_unitspropriedade. Suponha que eu tenha um problema de classificação definido por: t - number of...

rnn machine-learning r predictive-modeling random-forest python language-model sentiment-analysis encoding machine-learning deep-learning neural-network dataset caffe classification xgboost multiclass-classification unbalanced-classes time-series descriptive-statistics python r clustering machine-learning python deep-learning tensorflow machine-learning python predictive-modeling probability scikit-learn svm machine-learning python classification gradient-descent regression research python neural-network deep-learning convnet keras python tensorflow machine-learning deep-learning tensorflow python r bigdata visualization rstudio pandas pyspark dataset time-series multilabel-classification machine-learning neural-network ensemble-modeling kaggle machine-learning linear-regression cnn convnet machine-learning tensorflow association-rules machine-learning predictive-modeling training model-selection neural-network keras deep-learning deep-learning convnet image-classification predictive-modeling prediction machine-learning python classification predictive-modeling scikit-learn machine-learning python random-forest sampling training recommender-system books python neural-network nlp deep-learning tensorflow python matlab information-retrieval search search-engine deep-learning convnet keras machine-learning python cross-validation sampling machine-learning
11
Existem bons modelos de linguagem prontos para uso em python?

Estou prototipando um aplicativo e preciso de um modelo de linguagem para calcular a perplexidade em algumas frases geradas. Existe algum modelo de linguagem treinado em python que eu possa usar facilmente? Algo simples como model = LanguageModel('en') p1 = model.perplexity('This is a well...

python nlp language-model r statistics linear-regression machine-learning classification random-forest xgboost python sampling data-mining orange predictive-modeling recommender-system statistics dimensionality-reduction pca machine-learning python deep-learning keras reinforcement-learning neural-network image-classification r dplyr deep-learning keras tensorflow lstm dropout machine-learning sampling categorical-data data-imputation machine-learning deep-learning machine-learning-model dropout deep-network pandas data-cleaning data-science-model aggregation python neural-network reinforcement-learning policy-gradients r dataframe dataset statistics prediction forecasting r k-means python scikit-learn labels python orange cloud-computing machine-learning neural-network deep-learning rnn recurrent-neural-net logistic-regression missing-data deep-learning autoencoder apache-hadoop time-series data preprocessing classification predictive-modeling time-series machine-learning python feature-selection autoencoder deep-learning keras tensorflow lstm word-embeddings predictive-modeling prediction machine-learning-model machine-learning classification binary theory machine-learning neural-network time-series lstm rnn neural-network deep-learning keras tensorflow convnet computer-vision
10
Como fazer produto interno em lote no Tensorflow?

Eu tenho dois tensores a:[batch_size, dim] b:[batch_size, dim]. Quero fazer um produto interno para cada par do lote, gerando c:[batch_size, 1], onde c[i,0]=a[i,:].T*b[i,:].

tensorflow scikit-learn svm cross-validation feature-selection bayesian machine-learning decision-trees parameter-estimation neural-network convnet neural-network regularization visualization machine-learning similarity python pandas indexing r data-cleaning machine-learning predictive-modeling data-cleaning recommender-system python sequential-pattern-mining software-recommendation r visualization gaussian distribution machine-learning data-mining bigdata apache-hadoop predictive-modeling logistic-regression sampling machine-learning regression feature-selection mongodb neural-network inception machine-learning classification dataset databases logistic-regression deep-learning backpropagation classification data-mining multilabel-classification text-mining data-cleaning unsupervised-learning anomaly-detection python r python pandas