Deep Learning for Computer Vision

Convolutional neural network

Convolutional neural networks (CNN) are similar to the neural networks described in the previous sections. CNNs have weights, biases, and outputs through a nonlinear activation. Regular neural networks take inputs and the neurons fully connected to the next layers. Neurons within the same layer don't share any connections. If we use regular neural networks for images, they will be very large in size due to a huge number of neurons, resulting in overfitting. We cannot use this for images, as images are large in size. Increase the model size as it requires a huge number of neurons. An image can be considered a volume with dimensions of height, width, and depth. Depth is the channel of an image, which is red, blue, ...