from keras.models import Sequential ... 將資料分成兩組，一組是用來train model, 另一組用來測試model 預測的效果。 ... Y_pred = model.predict(X_test). ... <看更多>

model.predict() expects the first parameter to be a numpy array. You supply a list, which does not have the shape attribute a numpy array ... ... <看更多>

Model prediction output is a bunch of probabilities. In order to get category name you need use following snippet. It calculates the argmax ... ... <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）。 model.png ... ... <看更多>

So now we're actually going to have the model predict on these images and classify these images of dogs and ... ... <看更多>

This guide covers training, evaluation, and prediction (inference) models when ... in the same way across every kind of Keras model -- Sequential models, ... ... <看更多>

The dataset used in this model was taken from a Kaggle competition. ... we will build a text classification with Keras and LSTM to predict the category of ... ... <看更多>