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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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Artificial Intelligence Technology

(AI), help them to have a general understanding of this trend, and familiarize them with the current research hotspots, as well as part of the;

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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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Strategies for Deep Learning with Digital Technology

on bridging the theories with practice where the practice of deep learning with digital technology is well-grounded in relevant theories and;

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Deep Learning for Coders with fastai &

, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal;

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Deep Learning with Python

and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and;

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Deep Learning with Python

and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and;

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C++ Template Metaprogramming in Practice

compare the differences between the deep learning framework implemented with metaprogramming and compile-time computing with deep learning;

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Deep Learning with Hadoop

Build, implement and scale distributed deep learning models for large-scale datasets About This Book * Get to grips with the deep;

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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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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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Foundations of Deep Reinforcement Learning

students and software engineers who are familiar with basic machine learning concepts and have a working understanding of Python. Understand;

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Deep Learning with TensorFlow 2 and Keras

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devices Key;

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Deep Learning with Python

Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. You'll learn directly;

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Deep Learning with TensorFlow

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive;

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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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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

performance of your models For readers with an intermediate knowledge of Python, Jupyter notebooks, and machine learning.;

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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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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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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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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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R Deep Learning Essentials

prediction Who This Book Is For This book caters to aspiring data scientists who are well versed with machine learning concepts with R and are;

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