Introduction. The Instruction Paradigm. The Deep Learning Process and the Construction of Knowledge. Goals and Performance. Collaborative Learning. Academic Reading and Deep Learning. Deep Writing. Inclusive Deep Learning Environments. Time and Deep Learning: Intensive Teaching. Internationalization and Deep Learning. Evaluating to Learn. Student Evaluation of Teaching: Evaluating Deep Learning. The Learning Paradigm. Final Summary.
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ISBN-13: 9783030758547, 978-3030758547. Thisbook comprises theoretical foundations to deep learning, machine learning and computing system, deep learning algorithms, and various deep learning applications.
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ISBN-13: 9781484249758, 978-1484249758. Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks.
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Publication date : 22 May 2025. Order Processing & Cancellation.
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Title:-Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining Author:-Samuel Hack Format:-Paperback ISBN13:-9781699742150 Language:-English Publisher:-Independently Published Publication Date:-2019 Pages:-108 Pages Category:-Mathematics Textbook Condition:-Brand New
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Fast & Friendly.
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The application of deep learning methods to problems in natural language processing has generated significant progress across a wide range of natural language processing tasks. For some of these applications, deep learning models now approach or surpass human performance. While the success of this approach has transformed the engineering methods of machine learning in artificial intelligence, the significance of these achievements for the modelling of human learning and representation remains unclear.
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ISBN-13: 9781119543046, 978-1119543046. Deep Learning for Dummies gives you the information you need to take the mystery out of the topicand all of the underlying technologies associated with it. Deep Learning For Dummies Author(s): John Paul Mueller, Luca Massaron.
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