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Recent developments in deep learning have put the field center stage for innovation in software engineering. New algorithms and techniques in academia hold promise for many real world problems, and new machine learning platforms are powerful, but aren't necessarily easy to get started with.
With this hands-on cookbook, you'll discover that deep learning doesn't need to be intimidating. Aimed at readers who are new to deep learning, this cookbook enables you to solve problems quickly, using the most appropriate platform for each application. You'll learn how to the leverage work of Google by reusing pre-trained networks, use non-final layers to map data, and build recommender systems out of any correlation data.
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