＜p＞This book provides a complete illustration of deep learning concepts with case-studies and practi
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＜p＞Principles and Labs for Deep Learning provides the knowledge and techniques needed to help reader
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＜p＞This new volume discusses state-of-the-art deep learning techniques and approaches that can be ap
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＜p＞Machine learning (ML) and deep learning (DL) algorithms are invaluable resources for Industry 4.0
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＜p＞A core principle of physics is knowledge gained from data. Thus, deep learning has instantly ente
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＜p＞This is the first book on synthetic data for deep learning, and its breadth of coverage may rende
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＜p＞Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the
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＜p＞＜b＞Harness the power of the easy-to-use, high-performance fastai framework to rapidly create comp
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＜p＞＜strong＞＜em＞Math for Deep Learning＜/em＞ provides the essential math you need to understand deep l
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＜p＞This book is a detailed reference on biomedical applications using Deep Learning. Because Deep Le
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＜p＞This book is a collection of best selected research papers presented at the Conference on Machine
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ご注文前に必ずご確認ください＜商品説明＞＜収録内容＞第1部 ディープラーニングの実際(ディープラーニングへの旅路モデルから実運用へ ほか)第2部 fastaiのアプリケーションを理解する(舞台裏:数字
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＜p＞In this book, implement deep learning on detecting vehicle license plates, recognizing sign langu
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＜p＞In this book, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy an
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＜p＞In this book, you will learn how to use TensorFlow, Keras, Scikit-Learn, OpenCV, Pandas, NumPy an
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＜p＞This book contributes to the progress towards intelligent transportation. It emphasizes new data
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＜p＞Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-
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＜p＞Deep Learning has achieved great success in many challenging research areas, such as image recogn
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＜p＞＜b＞Create better and easy-to-use deep learning models with AutoKeras＜/b＞＜/p＞＜h2＞Key Features＜/h2＞
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＜p＞This volume shows how university and college professors can create an engaging environment that e
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＜p＞The application of deep learning methods to problems in natural language processing has generated
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＜p＞＜strong＞Discover ways to implement various deep learning algorithms by leveraging Python and othe
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＜p＞Foster understanding, retention, and participation using scientific evidence-based teaching metho
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＜p＞In 1964, a mechanism explaining the origin of particle masses was proposed by Robert Brout, Fran?
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