prediction = model.predict(np.array(tk.texts_to_sequences(text))) ... from tensorflow.keras.layers import Dense from tensorflow.keras.models ... ... <看更多>
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prediction = model.predict(np.array(tk.texts_to_sequences(text))) ... from tensorflow.keras.layers import Dense from tensorflow.keras.models ... ... <看更多>
Deep Learning for humans. Contribute to keras-team/keras development by creating an account on GitHub. ... to do prediction with `model.predict()`. ... <看更多>
You can do: q = model.predict( np.array( [single_x_test,] ) ). ... <看更多>
... <看更多>
This tutorial shows how to deploy a trained Keras model to AI Platform and serve predictions using a custom prediction routine. This lets you customize how ... ... <看更多>
Keras 模型构建主要包括5个步骤:定义(define),编译(compile),训练(fit),评估(evaluate),预测(prediction)。 ... <看更多>