Once You've Added All the Layers to a Keras Neural

question 35

Multiple Choice

Once you've added all the layers to a Keras neural network, you complete the Keras model by calling its compile method, as in: cnn.compile(optimizer='adam',
Loss='categorical_crossentropy',
Metrics=['accuracy'])
Which of the following statements about the arguments is false?

• A) optimizer='adam' specifies the optimizer this model will use to adjust the weights throughout the neural network as it learns.
• B) There are many optimizers -xe "optimizer:'adam'"xe "adam optimizer[adam optimizer]"'adam' performs well across a wide variety of models.
• C) loss='xe "categorical_crossentropy loss function"xe "loss function:categorical_crossentropy"categorical_crossentropy' specifies the xe "loss function"loss function used by the optimizer in multi-classification networks like our convnet, which predicts 10 classes. As the neural network learns, the optimizer attempts to maximize the values returned by the loss function. The greater the loss, the better the neural network is at predicting what each image is.
• D) metrics=['accuracy']-This is a list of the metrics that the network will produce to help you evaluate the model. We use the xe "accuracy of a model"accuracy metric to check the percentage of correct predictions.

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Definitions:

Mate Preferences

The qualities or characteristics that individuals seek in potential reproductive partners, influenced by a combination of genetic, environmental, and social factors.

Sexual Conflict

A situation in evolutionary biology where the sexual interests of males and females differ, often leading to evolutionary arms races between sexes.

Reproductive Conflict

Competitive interactions or disagreements between individuals or groups regarding reproduction, often leading to fitness consequences.

Comparative Approach

A method in research that involves comparing different entities to understand similarities, differences, and effects of variables.