5 Pythonの「頻繁なシーケンスマイニング」パッケージは適切ですか？ MLLibのFPM以外に、Pythonで優れた「頻繁なシーケンスマイニング」パッケージを使用した（または気に入った）誰かがいますか？私は安定したパッケージを探しています。ありがとうございました！ 12 python sequential-pattern-mining
3 数学の畳み込みとCNNの関係 畳み込みの説明を読んである程度理解しました。誰かがこの操作がたたみ込みニューラルネットのたたみ込みにどのように関連しているかを理解するのを手伝ってくれませんか？gウェイトをかけるフィルターのような機能ですか？ 10 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
3 Tensorflowでバッチ内積を行う方法は？ 2つのテンソルがありa:[batch_size, dim] b:[batch_size, dim]ます。バッチ内のすべてのペアに対して内積を行い、を生成c:[batch_size, 1]しc[i,0]=a[i,:].T*b[i,:]ます。どうやって？ 10 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