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Deep Calling Deep

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Deep Calling Deep

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Stevens:Deep Learning with PyTorc_p

started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch;

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Principles and Labs for Deep Learning

Learning. Introduces readers to the usefulness of neural networks and Deep Learning methods Provides readers with in-depth;

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Deep Network Design for Medical Image Computing

introduce adversarial learning, and more. This book will help graduate students and researchers develop a better understanding of the;

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Multimodal Scene Understanding

Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a;

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Deep Learning Techniques for Biomedical and Health Informatics

Deep Learning Techniques for Biomedical and Health Informatics provides readers with the state-of-the-art in deep learning-based;

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Meta-Learning

Deep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI;

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Artificial Intelligence and Deep Learning in Pathology

Recent advances in computational algorithms, along with the advent of whole slide imaging as a platform for embedding artificial;

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Machine Learning

Machine Learning: A Bayesian and Optimization Perspective, 2nd edition, gives a unified perspective on machine learning by;

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Concepts and Real-Time Applications of Deep Learning

This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a;

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Hands-On Deep Learning with Apache Spark

learning with Apache Spark Train neural networks with deep learning libraries such as BigDL and TensorFlow Develop Spark deep learning applications;

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Porter Records W/Randy Stevens, Frankie Loren, the Tads, Ward Darby, P W/RANDY STEVENS, FRANKIE LOREN, THE TADS, WARD DARBY, P. V/A, CD

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Deep Reinforcement Learning with Python

, healthcare, finance, and many more. This book covers deep reinforcement learning using deep-q learning and policy gradient models with coding;

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Advanced Deep Learning for Engineers and Scientists

This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time;

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Deep Learning with Structured Data

of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind;

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Personalized Deeper Learning

Access simple yet powerful personalized learning plans that any teacher--regardless of grade, existing curriculum, or student load--can;

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Learn Keras for Deep Neural Networks

on an end-to-end approach to developing supervised learning algorithms in regression and classification with practical business-centric use;

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Pro Deep Learning with TensorFlow

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition;

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TensorFlow Deep Learning Projects

learning and, more recently, deep learning. It provides a fast and efficient framework for training different kinds of deep learning models, with;

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Hands-On Deep Learning for Images with TensorFlow

fast, efficient, and accurate deep learning tasks. Hands-On Deep Learning for Images with TensorFlow shows you the practical implementations;

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Machine Learning

Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine;

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Modern Deep Learning Design and Application Development

Learn how to harness modern deep-learning methods in many contexts. Packed with intuitive theory, practical implementation methods, and;

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PyTorch Deep Learning Hands-On

to doing deep learning work with Pytorch. It is not an academic textbook and does not try to teach deep learning principles. The book will;

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R Deep Learning Essentials

algorithms for unsupervised data using deep learning concepts with R * Master the common problems faced such as overfitting of data, anomalous;

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MATLAB Deep Learning

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals;

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Java Deep Learning Essentials

Dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with;

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