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A step-by-step gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural;
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how a neural network solves a problem, and that reinforce your understanding of modeling techniques.;
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learning neural network models Easily convert your TensorFlow 1.12 applications to TensorFlow 2.0-compatible files Use TensorFlow to tackle;
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Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you;
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Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you;
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your own deep neural networks and intelligent apps. What you will learn Explore the different applications of deep learning Understand the;
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This book is an exploration of an artificial neural network. It has been created to suit even the complete beginners to artificial neural;
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edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps;
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. You will use real-world examples to implement various neural network architectures to develop your own autonomous and automated vehicle using;
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in neural networks with R, to implement them in your applications * Build smart systems using the power of deep learning * Real-world case studies;
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skills you need to confidently train your own neural network models. What you will learn Gain insights into the fundamentals of neural;
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book, you will have the skills you need to build, train, and optimize your own neural network model that can be used to provide predictable;
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new model, based upon the neural networks, to both understand the development of mental health issues and their persistence, and how and why;
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new model, based upon the neural networks, to both understand the development of mental health issues and their persistence, and how and why;
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help you uncover expert techniques to get the most out of your data and build complex neural network models. The book starts with a quick;
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network research and the practice of training neural networks has undergone a number of important changes, for example, use of deep learning;
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the essentials of deep learning and neural network modeling Train different kinds of neural networks to tackle various problems in Natural;
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popular TensorFlow library Apply long short-term memory units Expand your skills in complex neural network and deep learning topics Book;
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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to;
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dynamics and chaos into neural networks. In this book, a new type of neural network is introduced based on the nonlinear dynamics and chaos;
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of prediction performance based on real network traffic; network security; a modified artificial neural network based approach to add new data in a;
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techniques and practical examples presented in this book will allow you to bring your neural network routines to a higher level. What You Will;
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This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory;
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This book is a guide on how to implement a neural network in the Python programming language. It begins by giving you a brief overview;
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Cpd Guide to Building Your Own Support Network is een boek van Richard Winfield;
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. It seems that even to a very limited extent, new nerve cells can be built anew in the human central nervous system. Neural network learning;
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Gain the knowledge of various deep neural network architectures and their application areas to conquer your NLP issues. Key Features Gain;
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Einde inhoud
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