Which layer in a CNN is responsible for reducing the spatial dimensions of the input data?a.Convolutional layerb.Activation layerc.Fully connected layerd.Pooling layer
Question
Which layer in a CNN is responsible for reducing the spatial dimensions of the input data?a.Convolutional layerb.Activation layerc.Fully connected layerd.Pooling layer
Solution
The layer in a Convolutional Neural Network (CNN) that is responsible for reducing the spatial dimensions of the input data is the Pooling layer (d).
Here's a step-by-step explanation:
- Convolutional Layer: This is the first layer in a CNN. It applies a convolution operation on the input layer, passing the result to the next layer. The main purpose of this layer is to
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