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**_Be careful with candles_**. Never leave candles unattended, and keep them away from flammable materials. Use sturdy candle holders, how much does gary dell abate make and place them on a level surface. Blow out candles before you leave the room or go to sleep.
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Pooling layers are used to reduce the spatial dimensions of the feature maps, which helps to reduce the computational complexity of the network and make it more robust to variations in the input image. The most common type of pooling is max pooling, which selects the maximum value from each local region of the feature map. This effectively downsamples the feature map while preserving the most important features. Another type of pooling is average pooling, which calculates the average value in each region. Pooling layers help to make the network more invariant to small translations and distortions in the input image, improving its generalization performance. They also help to reduce the risk of overfitting, by reducing the number of parameters in the network.