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In this post, I'll discuss how to use convolutional neural networks for the task of semantic image segmentation. Image segmentation is a computer vision task in which we label specific regions of an image according to what's being shown. "What's in this image, and where in the image is it located?" Jump to: Representing the task Constructing an architecture Methods for upsampling Fully convolution

Jeremy Jordan Machine learning engineer. Broadly curious. More posts by Jeremy Jordan. In previous posts, I've discussed how we can train neural networks using backpropagation with gradient descent. One of the key hyperparameters to set in order to train a neural network is the learning rate for gradient descent. As a reminder, this parameter scales the magnitude of our weight updates in order to