May 2020
Intermediate to advanced
530 pages
17h 8m
English
Content preview from Hands-On Machine Learning with C++
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Dlib
The Dlib library has an API for working with neural networks. It can also be built with Nvidia CUDA support for performance optimization. Using the CUDA or the OpenCL technologies for GPUs is important if we are planning to work with a large amount of data and deep neural networks.
The approach used in the Dlib library for neural networks is the same as for other machine learning algorithms in this library. We should instantiate and configure an object of the required algorithm class and then use a particular trainer to train it on a dataset.
There is the dnn_trainer class for training neural networks in the Dlib library. Objects of this class should be initialized with an object of the concrete network and the object of the optimization ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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