Posts tagged cnn

Pooling Layers in Convolutional Neural Networks

How max and average pooling downsample a representation, the hyperparameters they take, and why they have no weights to learn.

One Layer of a Convolutional Network

A step-by-step walk through a single convolutional layer: filters, bias, activation, and the parameter count it actually costs.

Convolutions Over Volume

How convolution extends from flat images to 3D volumes, and why stacking multiple filters is what gives a CNN layer its depth.

Deep Learning Computer Vision Advancements and Exciting Applications

How deep learning reshaped computer vision, from self-driving perception and face recognition to image recommendation and art generation.

Understanding Padding in Convolutional Neural Networks

Why convolutions shrink a feature map, and how valid and same padding keep spatial resolution intact through a deep CNN.