\u003cb\u003eDiscover deep learning and computer vision with SAS!\u003c/b\u003e \u003cp\u003e\u003ci\u003eDeep Learning for Computer Vision with SAS\u003csup\u003e®\u003c/sup\u003e: An Introduction\u003c/i\u003e introduces the pivotal components of deep learning. Readers will gain an in-depth understanding of how to build deep feedforward and convolutional neural networks, as well as variants of denoising autoencoders. Transfer learning is covered to help readers learn about this emerging field. Containing a mix of theory and application, this book will also briefly cover methods for customizing deep learning models to solve novel business problems or answer research questions. SAS programs and data are included to reinforce key concepts and allow readers to follow along with included demonstrations.\n\u003cp\u003eReaders will learn how to: \u003cul\u003e\n\u003cli\u003eDefine and understand deep learning\n\u003cli\u003eBuild models using deep learning techniques and SAS Viya\n\u003cli\u003eApply models to score (inference) new data\n\u003cli\u003eModify data for better analysis results\n\u003cli\u003eSearch the hyperparameter space of a deep learning model\n\u003cli\u003eLeverage transfer learning using supervised and unsupervised methods\u003c/ul\u003e
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