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Deep Learning With Python Illustrated Guide For Beginners And Intermediates

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Deep Learning Illustrated

Deep learning is one of today's hottest fields. This approach to machine learning is achieving breakthrough results in some of today's;

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Embedded Deep Learning

This book covers algorithmic and hardware implementation techniques to enable embedded deep learning. The authors describe synergetic;

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Principles and Labs for Deep Learning

models. Deep Learning techniques are introduced through theory, comprehensively illustrated, explained through the TensorFlow source code;

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Artificial Intelligence Engines

In this richly illustrated book, deep neural network learning algorithms are explained informally first, followed by detailed mathematical;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Deep Learning and Practice with MindSpore

This book systematically introduces readers to the theory of deep learning and explores its practical applications based on the MindSpore;

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Practical MATLAB Deep Learning

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that;

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Practical MATLAB Deep Learning

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that;

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R Deep Learning Cookbook

Powerful, independent recipes to build deep learning models in different application areas using R libraries About This Book * Master;

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Deep Learning for Data Analytics

Deep learning, a branch of Artificial Intelligence and machine learning, has led to new approaches to solving problems in a variety;

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Deep Reinforcement Learning with Python

Deep reinforcement learning is a fast-growing discipline that is making a significant impact in fields of autonomous vehicles, robotics;

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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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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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Hands-On Deep Learning with Apache Spark

Speed up the design and implementation of deep learning solutions using Apache Spark Key Features Explore the world of distributed deep;

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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

identifying cats in YouTube videos. Powerful deep learning techniques can efficiently extract insight from the kind of structured data collected by;

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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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R Deep Learning Essentials

Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for;

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Advanced Deep Learning with R

Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R libraries Key;

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Facilitating Deep Learning

Deep learning is a committed approach to learning. It is a process of constructing and interpreting new knowledge in light of prior;

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Facilitating Deep Learning

Deep learning is a committed approach to learning. It is a process of constructing and interpreting new knowledge in light of prior;

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Deep Learning For Dummies

Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business;

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Hands-On Deep Learning for Images with TensorFlow

Explore TensorFlow's capabilities to perform efficient deep learning on images Key Features Discover image processing for machine vision;

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The Development of Deep Learning Technologies

explores the cutting edge of deep learning studies. A subfield of machine learning, deep learning differs from conventional machine learning;

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PyTorch Deep Learning Hands-On

Hands-on projects cover all the key deep learning methods built step-by-step in PyTorch Key Features Internals and principles of PyTorch;

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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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