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This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore's Law, coupled with;
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Entrepreneurial ecosystems have recently received considerable attention from scholars and policymak;...
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with other deep learning frameworks on Caffe2 Integrate Caffe2 with Android or iOS and implement deep learning models for mobile devices;
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, Big Data, Deep Learning and Clouds at Extreme Scale Workshop on HPC Computing in a Post Moore's Law World (HCPM) HPC I/O in the Data Center;
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such large amounts of data sets has led to the adoption of machine learning (ML) and deep learning (DL) methods in a wide range of applications;
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Thinking Machines: Machine Learning and Its Hardware Implementation covers the theory and application of machine learning, neuromorphic;
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Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into arti?cial Intelligence and the growth;
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theoretical concepts of deep learning projects, such as model optimization, overfitting, and data augmentation, together with other advanced topics;
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-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and;
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The role of deep learning for the analysis and learning of massive amounts of data from all aspects of daily-life has dramatically changed;
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This book offers a timely snapshot and extensive practical and theoretical insights into the topic of learning from data. Based on the;
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, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems. You'll see how deep learning is a;
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This textbook presents deep learning models and their healthcare applications. It focuses on rich health data and deep learning models that;
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Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.;
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Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive;
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in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing;
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