Deep Learning
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Deep Learning: Practical Neural Networks with Java
By Yusuke Sugomori, Bostjan Kaluza, Fabio M. SoaresTo predict this, Moore's law is used. The performance of an integrated circuit that supports the progress of a computer is indicated by the loaded number of transistors. Moore's law shows the number, and the number of transistors is ...
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Deep Learning: A Practitioner's Approach
By Josh Patterson, Adam GibsonEditors: Mike Loukides and Tim McGovern Production Editor: Nicholas Adams Copyeditor: Bob Russell, Octal Publishing, Inc. Proofreader: Christina Edwards Indexer: Judy McConville Interior Designer: David Futato Cover Designer: Karen ...
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Deep learning: hoe verdiepend leren kan leiden tot betekenisvolle verandering
By Joanne Quinn, Michael G. Fullan, Joanne McEachenDe auteurs beschouwen 'Deep Learning' als een essentieel leer- en ontwikkelproces van de leerlingen waarbij zij zicht krijgen op het stellen van vragen die er werkelijk te doen.
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Deep Learning: Methods and Applications
By Li Deng, Dong YuProvides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks
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Deep Learning: A Visual Approach
By Andrew GlassnerTo read our architecture back, we can use Listing B2-57. import yaml from tensorflow.keras.models import model_from_yaml filename = 'my_model_arch.yaml' with open(filename) as yaml_data: yaml_string = yaml.load(yaml_data, Loader=yaml.
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Deep Learning
By Ian Goodfellow, Yoshua Bengio, Aaron CourvilleThe hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.
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Deep Learning
By Ian Goodfellow, Yoshua Bengio, Aaron CourvilleThe hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.
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Deep Learning
By John D. KelleherIn this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence ...
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Deep Learning: A Practitioner's Approach
By Josh Patterson, Adam GibsonThis hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning networks.
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Deep Learning: DL4J and Beyond
By Josh Patterson, Adam GibsonHow can machine learning--especially deep neural networks--make a real difference in your organization? This hands-on guide not only provides practical information, but helps you get started building efficient deep learning networks.
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Deep Learning: Algorithms and Applications
By Witold Pedrycz, Shyi-Ming ChenMiguel Martin-Abadal, Ana Ruiz-Frau, Hilmar Hinz and Yolanda Gonzalez-Cid Abstract Ecological studies are increasingly using video image data to study the distribution and behaviour of organisms. Particularly in marine sciences cameras ...
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Deep Learning: Engage the World Change the World
By Michael Fullan, Joanne Quinn, Joanne McEachenNew Pedagogies for Deep Learning (NDPL) provides a comprehensive strategy for systemwide transformation.
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Deep Learning: Concepts and Architectures
By Witold Pedrycz, Shyi-Ming ChenThis book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation.
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Deep Learning: Une Introduction Aux Principes Fondamentaux de l'Apprentissage Profond À l'Aide de Python
By Sebastian DarkCurieux de découvrir la technologie révolutionnaire qui façonne notre avenir et change le monde?
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Deep Learning: Engage the World Change the World
By Michael Fullan, Joanne Quinn, Joanne McEachenNew York, NY: Teachers College. Clinton, J. (2013). The power of positive adult relationships: Connection is the key. ... The power of unstoppable momentum: Key drivers to revolutionize your district. Bloomington, IN: Solution Tree.
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Deep learning: praca z językiem Python i biblioteką Keras
By Francois CholletDeep learning: praca z językiem Python i biblioteką Keras
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Deep Learning: Research and Applications
By Siddhartha Bhattacharyya, Aboul Ella Hassanien, Václav SnášelThis book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples.
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Deep Learning: Fundamentals, Theory and Applications
By Rui Zhang, Kaizhu Huang, Amir HussainThe purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress, discuss the most ...
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Deep Learning: Fundamentals, Theory and Applications
By Rui Zhang, Kaizhu Huang, Amir HussainThe purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used learning architectures and algorithms, present its latest theoretical progress, discuss the most ...
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Deep Learning
... face recognition accuracy. In: Face Recognition Across the Imaging Spectrum ... detection using recurrent neural networks. In: IEEE AVSS, pp. 1–6. Hao, K ... Handbook of Digital Face Manipulation and Detection, Springer, Cham, pp. 367–387 ...