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Fundamentals of Machine & Deep Learning

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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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Fundamentals Of Deep Learning

With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that's paving;

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The Deep Learning Workshop

Take a hands-on approach to understanding deep learning and build smart applications that can recognize images and interpret text Key;

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TensorFlow for Deep Learning From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If;

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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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Grokking Deep Reinforcement Learning

Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required;

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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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Machine Learning Using TensorFlow Cookbook

Comprehensive recipes to give you valuable insights on Transformers, Reinforcement Learning, and more Key Features Deep Learning;

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Multi-faceted Deep Learning

This book covers a large set of methods in the field of Artificial Intelligence - Deep Learning applied to real-world problems. The;

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Deep Learning with Python

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory;

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Deep Learning with Python

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory;

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Machine Learning Fundamentals

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for;

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Machine Learning Fundamentals

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for;

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Hands-On Convolutional Neural Networks with TensorFlow

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for;

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Source Separation and Machine Learning

Source Separation and Machine Learning presents the fundamentals in adaptive learning algorithms for Blind Source Separation (BSS;

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Deep Learning

The purpose of this edited volume is to provide a comprehensive overview on the fundamentals of deep learning, introduce the widely-used;

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Machine Learning and Deep Learning in Real-Time Applications

have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Python Machine Learning -

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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Deep Learning in Visual Computing

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine;

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Introducing Machine Learning

Master machine learning concepts and develop real-world solutions Machine learning offers immense opportunities, and;

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Computational Mechanics with Neural Networks

machine learning method in computational mechanics. Part II highlights the applications of neural networks to a variety of problems;

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Computational Mechanics with Neural Networks

machine learning method in computational mechanics. Part II highlights the applications of neural networks to a variety of problems;

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Deep Learning and Physics

What is deep learning for those who study physics? Is it completely different from physics? Or is it similar? In recent years, machine;

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