Which of the following statements a) , b) or c) is false?
A) Neural network models can require significant training time. Once you've designed and tested a model that suits your needs, you can save its state. This allows you to load it later to make more predictions. Sometimes models are loaded and further trained for new problems. For example, layers in our model already know how to recognize features such as lines and curves, which could be useful in handwritten character recognition as well. This process is called transfer learning-you transfer an existing model's knowledge into a new model.
B) A Keras model's save method stores the model's architecture and state information in a format called Hierarchical Data Format (HDF5) . Such files use the .xe "h5 file extension for Hierarchical Data Format files"h5 file extension.
C) You can load a saved model with the load_model function from the tensorflow.keras.models module, as in: from tensorflow.keras.models import load_model
Cnn = load_model('mnist_cnn.h5')
You can then invoke the loaded model's methods. For example, if you've acquired more data, you could call the model's predict method to make additional predictions on new data, or you could call the model's fit method to start training with the additional data.
D) All of the above statements are true.
Correct Answer:
Verified
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