Convolutions example sentences

"Convolutions" Example Sentences

1. The human brain has numerous convolutions that allow it to process information quickly.
2. The pattern on the rug was made up of intricate convolutions.
3. The intricate convolutions of the maze made it difficult to find the exit.
4. The artist's painting was filled with bold, swirling convolutions.
5. The computer algorithm used convolutions to process images.
6. The convolutions of the mountain range made it a challenging hike.
7. The tree's roots had convolutions that reached deep into the ground.
8. The roller coaster track had many sharp convolutions that added to the thrill of the ride.
9. The convolutions of the plot made the book difficult to follow.
10. The network of roads in the city had many convolutions that led to frequent traffic jams.
11. The convolutions of the river made it a challenging place to navigate.
12. The building's architecture featured many convolutions and intricate details.
13. The convolutions of the dance routine were impressive to watch.
14. The science experiment involved analyzing the convolutions of plant cells under a microscope.
15. The artist's sculpture was made up of many intertwined convolutions.
16. The wind created convolutions in the sand on the beach.
17. The intricate convolutions of the spider's web were a marvel to behold.
18. The scientist used mathematical convolutions to analyze the data.
19. The mountain range's convolutions inspired the artist's painting.
20. The rock formation had fascinating, twisting convolutions.
21. The building's spiral staircase had many intricate convolutions.
22. The fabric pattern featured convolutions that resembled waves.
23. The maze's convolutions were designed to challenge even the most experienced puzzle solver.
24. The concert's light show included colorful convolutions that enveloped the stage.
25. The organic material had convolutions that indicated it had been compressed over time.
26. The microscopic organism's convolutions allowed it to move with great speed and agility.
27. The roller skating rink had convolutions and ups and downs that added to the fun of skating.
28. The intricate convolutions of the ancient ruins astonished archaeologists.
29. The artist's painting was made up of bold, sweeping convolutions that captured the energy of the scene.
30. The multi-dimensional convolutions in the computer program allowed it to perform complex calculations.

Common Phases

1. The convolutional neural network uses multiple small filters to extract features from the input image;
2. The process of convolution involves sliding a filter over the input image and computing dot products at each location;
3. The stride parameter specifies the number of pixels to shift the filter at each step during convolution;
4. Padding can be added to the input image to preserve the spatial dimensions after convolution;
5. The number of filters in a convolutional layer determines the number of feature maps produced at the output;
6. The activation function is applied to the output of convolutional layers to introduce non-linearity;
7. Convolutional layers are typically followed by pooling layers that downsample the feature maps;
8. The pooling operation reduces the spatial dimensions of the feature maps while retaining the most important features;
9. The output of pooling layers is flattened and fed into fully-connected layers for classification or regression.