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Upon completing the book the reader will have all the tools necessary to add powerful deep learning capabilities to their new or existing applications.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat you will learn\u003c\/b\u003e\u003cbr\u003e\u003cli\u003e In-depth knowledge of Kelp.Net\u003c\/li\u003e\u003cli\u003e How to develop Deep Learning models\u003c\/li\u003e\u003cli\u003e C# Deep Learning programming \u003c\/li\u003e\u003cli\u003e Open-Computing Language (OpenCL)\u003c\/li\u003e \u003cli\u003e Loading and saving Deep Learning models\u003c\/li\u003e \u003cli\u003e How to develop and use activation functions\u003c\/li\u003e \u003cli\u003e How to test Deep Learning models\u003c\/li\u003e\u003cbr\u003e\u003cb\u003eWho This Book is For\u003c\/b\u003e\u003cbr\u003e This book targets C# .Net developers who are passionate about deep learning yet want to do so from an easy and intuitive API.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cli\u003e Introduction\u003c\/li\u003e\u003cli\u003e ML\/DL Terms and Concepts\u003c\/li\u003e\u003cli\u003e Deep Instrumentation\u003c\/li\u003e\u003cli\u003e Kelp.Net Reference\u003c\/li\u003e\u003cli\u003e Loading and Saving Models\u003c\/li\u003e\u003cli\u003e Model Testing and Training\u003c\/li\u003e\u003cli\u003e Sample Deep Learning Tests\u003c\/li\u003e\u003cli\u003e Creating Your Own Deep Learning Tests\u003c\/li\u003e\u003cli\u003e Appendix A: Evaluation Metrics\u003c\/li\u003e\u003cli\u003e Appendix B: OpenCL\u003c\/li\u003e \u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eMatt R. 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