Consider the Output of the Following Output Produced by Calling

question 41

Multiple Choice

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?

• A) A model's summary method shows you the model's layers.
• B) The parameters are the weights that the network learns during training. Our relatively small convnet, needs to learn nearly 500,000 parameters.
• C) In the Output Shape column, None simply means that the model does not know in advance how many training samples you're going to provide-this is known only when you start the training.
• D) By default, Keras trains only the parameters that most affect prediction accuracy.

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Definitions:

Processing Department

A division within a manufacturing operation where a specific type of processing or assembly is completed.

Equivalent Units

A measure used in process costing that converts partially completed units into a smaller number of fully completed units.

First-in

Typically refers to the "First-In, First-Out" (FIFO) inventory method where the oldest inventory items are recorded as sold first.

Conversion Costs

The costs required to convert raw materials into finished goods, including direct labor and manufacturing overhead.