January 2018
Intermediate to advanced
310 pages
7h 48m
English
Content preview from Deep Learning for Computer Vision
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Building a perceptron
A perceptron is a single-layer neural network. The concepts covered in this chapter, such as a fully connected layer, activation function, Stochastic Gradient Descent, logits, one hot encoding, softmax, and cross-entropy will be useful here. You will learn how to define these components of neural networks in TensorFlow and use the network to train the MNIST data.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.