Convolutional Neural Networks

**Definition:** Artificial neural networks designed to automatically learn features through the use of sequence of layers which transform one volume to the next. Convolutional neural networks initially produce a feature map by use of convolution layers consisting of a set of learnable filters convolved with input, i.e., having smaller widths and heights and the same depth as that of input volume.

**Tree numbers:** - G17.485.250 - L01.224.050.375.605.250