In this video, we will understand the complete CNN Architecture. A CNN architecture represents the design of the CNN. CNN ...

Convolutional Layers The central component of a CNN is the convolutional layer that automatically and adaptively learns spatial hierarchies of features.

Convolutional Layers: These layers are the heart of the CNN. Each layer consists of multiple filters (kernels) that slide across the input data, performing element-wise multiplication.

Most convolutional neural networks use pooling layers to gradually reduce the size of their feature maps and keep the most prominent parts.

• Convolutional Layer: The convolutional layer consists of a set of cube-shaped filters that are convolved with the input data by computing the dot product between both, resulting in a so-called ...