Der git tagBefehl listet also die aktuellen Git-Tags auf tag1 tag2 git tag -n druckt die Nachricht des Tags tag1 blah blah tag2 blah blah Was ist der beste Weg, um den Hash von tag1 & tag2 zu erhalten?
Ich verwende das LSTM-Modell zum ersten Mal. Hier ist mein Modell: opt = Adam(0.002) inp = Input(...) print(inp) x = Embedding(....)(inp) x = LSTM(...)(x) x = BatchNormalization()(x) pred = Dense(5,activation='softmax')(x) model = Model(inp,pred) model.compile(....) idx = np.random.permutation(X_train.shape[0]) model.fit(X_train[idx], y_train[idx], nb_epoch=1, batch_size=128, verbose=1) Was nützt es wortreich beim Trainieren des Modells?
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