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Evolutionary Machine Learning Techniques

. The book also covers applications of the improved artificial neural networks to solve classification, clustering, prediction and regression;

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Discussing the most highly regarded;

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Evolutionary Approach to Machine Learning and Deep Neural Networks

integration of several machine learning and deep learning techniques. These include convolutional neural networks, Groebner bases, relevance vector;

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Evolutionary Approach to Machine Learning and Deep Neural Networks

integration of several machine learning and deep learning techniques. These include convolutional neural networks, Groebner bases, relevance vector;

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Deep Learning from Scratch Building with Python from First Principles

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many;

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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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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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Fundamentals Of Deep Learning

foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural;

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Deep Learning with TensorFlow 2 and Keras

2 and Keras, Second Edition teaches neural networks and deep learning techniques alongside TensorFlow (TF) and Keras. You'll learn how to;

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MATLAB Deep Learning

, then move on to neural networks, deep learning, and then convolutional neural networks. In a blend of fundamentals and applications, MATLAB;

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Advanced Deep Learning with R

for image dimension reduction, image de-noising and image correction and transfer learning to prepare, define, train, and model a deep neural;

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Advances in Computational Intelligence

systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent;

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Advances in Computational Intelligence

systems; random-weights neural networks; pattern recognition; deep learning and natural language processing; software testing and intelligent;

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Neural Networks with R

intelligence and deep learning and you want to level up, then this book is what you need! What You Will Learn * Set up R packages for neural;

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Hands-on Machine Learning with Python

Python, you will be able to implement machine learning and neural network solutions and extend them to your advantage. You will: * Review data;

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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Computational Mechanics with Neural Networks

This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other;

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Hands-on Machine Learning with Python

Python, you will be able to implement machine learning and neural network solutions and extend them to your advantage. What You'll Learn;

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Engineering Applications of Neural Networks

machine, machine learning applications, predictive models, fuzzy and recommender systems, recurrent neural networks, spiking neural networks.;

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Introduction to Machine Learning

A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural;

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Hands-On Deep Learning with Go

Apply modern deep learning techniques to build and train deep neural networks using Gorgonia Key Features Gain a practical understanding;

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Hands-On Deep Learning with TensorFlow

about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data;

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Advanced Deep Learning with Python

Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural;

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Practical Deep Learning

concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic machine learning models, neural;

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The Deep Learning with Keras Workshop

learning from scratch with Keras, and be on your way to training your first ever neural networks. What sets Keras apart from other deep learning;

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Python Deep Learning

second edition of Python Deep Learning will get you up to speed with deep learning, deep neural networks, and how to train them with high;

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