Engineering Deep Learning Systems av Chi Wang, Donald Szeto

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<b>A vital guide to building the platforms and systems that bring deep learning models to production.</b><BR><BR>Summary<BR><BR>In <I>Designing Deep Learning Systems</I> you will learn how to:<BR><BR><ul><li>Transfer your software development skills to deep learning systems</li><li>Recognize and solve common engineering challenges for deep learning systems</li><li>Understand the deep learning development cycle</li><li>Automate training for models in TensorFlow and PyTorch</li><li>Optimize dataset management, training, model serving and hyperparameter tuning</li><li>Pick the right open-source project for your platform</li></ul><BR>Deep learning systems are the components and infrastructure essential to supporting a deep learning model in a production environment. Written especially for software engineers with minimal knowledge of deep learning’s design requirements, <I>Designing Deep Learning Systems</I> is full of hands-on examples that will help you transfer your software develo