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Consider the output of the following output produced by calling a Keras model's summary method: _________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
Conv2d_1 (Conv2D) (None, 26, 26, 64) 640
_________________________________________________________________
Max_pooling2d_1 (MaxPooling2 (None, 13, 13, 64) 0
_________________________________________________________________
Conv2d_2 (Conv2D) (None, 11, 11, 128) 73856
_________________________________________________________________
Max_pooling2d_2 (MaxPooling2 (None, 5, 5, 128) 0
_________________________________________________________________
Flatten_1 (Flatten) (None, 3200) 0
_________________________________________________________________
Dense_1 (Dense) (None, 128) 409728
_________________________________________________________________
Dense_2 (Dense) (None, 10) 1290
=================================================================
Total params: 485,514
Trainable params: 485,514
Non-trainable params: 0
_________________________________________________________________
Which of the following statements is false?
Marginal Utility Data
Information that measures the additional satisfaction or benefit received by consuming an additional unit of a good or service.
Prices
The financial sum estimated, demanded, or provided in exchange for something.
Income
Income is the amount of money or assets that is received over a period of time, often as payment for work, from investments, or from business activities.
Total Utility Data
Information representing the total satisfaction or benefit received by consuming a specific quantity of goods or services.
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