How do I handle large images when training a CNN? Suppose that I have 10K images of sizes $2400 \\times 2400$ to train a CNN How do I handle such large image sizes without downsampling? Here are a few more specific questions Are there any tech
machine learning - What is a fully convolution network? - Artificial . . . Fully convolution networks A fully convolution network (FCN) is a neural network that only performs convolution (and subsampling or upsampling) operations Equivalently, an FCN is a CNN without fully connected layers Convolution neural networks The typical convolution neural network (CNN) is not fully convolutional because it often contains fully connected layers too (which do not perform the
What are bottlenecks in neural networks? In a CNN (such as Google's Inception network), bottleneck layers are added to reduce the number of feature maps (aka channels) in the network, which, otherwise, tend to increase in each layer This is achieved by using 1x1 convolutions with fewer output channels than input channels