Products related to Neural:
-
Teaching, Tutoring and Training in the Lifelong Learning Sector
This core text provides comprehensive support for pre-service and in-service trainee teachers in the Lifelong Learning Sector covering all they need to know to achieve QTLS status. Supporting trainees through all stages of their professional development, the text takes the reader through the theoretical background underpinning teaching and learning and offers practical guidance on day-to-day challenges. This fourth edition has been fully revised and updated and includes a new chapter on teaching practice with notes on observation and lesson planning.New information on behaviour management has been added to support trainees in an aspect of teaching that many find challenging.
Price: 36.99 £ | Shipping*: 0.00 £ -
Neural Networks and Deep Learning : A Textbook
This book covers both classical and modern models in deep learning.The primary focus is on the theory and algorithms of deep learning.The theory and algorithms of neural networks are particularly important for understanding important concepts, so that one can understand the important design concepts of neural architectures in different applications.Why do neural networks work? When do they work better than off-the-shelf machine-learning models?When is depth useful? Why is training neural networks so hard? What are the pitfalls? The book is also rich in discussing different applications in order to give the practitioner a flavor of how neural architectures are designed for different types of problems.Deep learning methods for various data domains, such as text, images, and graphs are presented in detail.The chapters of this book span three categories: The basics of neural networks: The backpropagation algorithm is discussed in Chapter 2. Many traditional machine learning models can be understood as special cases of neural networks.Chapter 3 explores the connections between traditional machine learning and neural networks.Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 4 and 5.Chapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 8, 9, and 10 discuss recurrent neural networks, convolutional neural networks, and graph neural networks.Several advanced topics like deep reinforcement learning, attention mechanisms, transformer networks, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 11 and 12. The textbook is written for graduate students and upper under graduate level students.Researchers and practitioners working within this related field will want to purchase this as well. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques. The second edition is substantially reorganized and expanded with separate chapters on backpropagation and graph neural networks.Many chapters have been significantly revised over the first edition. Greater focus is placed on modern deep learning ideas such as attention mechanisms, transformers, and pre-trained language models.
Price: 59.99 £ | Shipping*: 0.00 £ -
Neural Encoder
UBX127's latest offering, Neural Encoder, is a kaleidoscopic journey through the electronic music landscape that leaves listeners dizzy with delight. The Berlin-based producer has crafted an album that is as unpredictable as it is infectious, blending elements of techno, acid house, and ambient soundscapes with a mischievous glee that is impossible to resist. From the opening track "Ethereal Ripples" to the closing notes of "Neural Resonance," UBX127 takes us on a whirlwind tour of his sonic playground, layering pulsating beats and squelchy synths with a deft touch that is both playful and precise. Tracks like "Binary Dreams" and "Circuit Bender" showcase his knack for crafting hypnotic grooves that beg to be danced to, while more introspective moments like "Static Echo" and "Ghost in the Machine" reveal a depth and complexity that is truly impressive. Neural Encoder is a sonic rollercoaster that never lets up, each track building on the last to create a rich and engaging listening experience. UBX127's production skills are on full display here, as he deftly navigates the narrow line between chaos and control with a finesse that is truly awe-inspiring. In short, Neural Encoder is a triumph of modern electronic music, a bold and brash statement from a producer who is unafraid to push boundaries and defy expectations. UBX127 has crafted an album that is as exhilarating as it is innovative, a must-listen for fans of cutting-edge electronic music everywhere.
Price: 22.99 £ | Shipping*: 0.00 £ -
Neural Networks
A critical examination of the figure of the neural network as it mediates neuroscientific and computational discourses and technical practicesNeural Networks proposes to reconstruct situated practices, social histories, mediating techniques, and ontological assumptions that inform the computational project of the same name.If so-called machine learning comprises a statistical approach to pattern extraction, then neural networks can be defined as a biologically inspired model that relies on probabilistically weighted neuron-like units to identify such patterns.Far from signaling the ultimate convergence of human and machine intelligence, however, neural networks highlight the technologization of neurophysiology that characterizes virtually all strands of neuroscientific and AI research of the past century.Taking this traffic as its starting point, this volume explores how cognition came to be constructed as essentially computational in nature, to the point of underwriting a technologized view of human biology, psychology, and sociability, and how countermovements provide resources for thinking otherwise.
Price: 15.99 £ | Shipping*: 3.99 £
-
What is neural computation?
Neural computation refers to the process by which the brain and nervous system process and transmit information. It involves the complex interactions between neurons, which are the basic building blocks of the nervous system. Neural computation encompasses a wide range of functions, including sensory perception, motor control, learning, and memory. This field of study seeks to understand how neural networks process information and how these processes can be replicated or simulated in artificial systems.
-
What are neural mechanisms?
Neural mechanisms refer to the processes and pathways in the brain that underlie various cognitive functions and behaviors. These mechanisms involve the communication between neurons through electrical and chemical signals, as well as the formation and strengthening of neural connections. Understanding neural mechanisms is crucial for studying how the brain processes information, controls behavior, and responds to different stimuli. Researchers use various techniques, such as neuroimaging and electrophysiology, to investigate these neural mechanisms and gain insights into brain function.
-
What tips are there for training a neural network?
When training a neural network, it's important to start with a well-defined problem and dataset. Preprocessing the data, such as normalizing or standardizing it, can help improve the training process. Additionally, choosing the right architecture and hyperparameters for the neural network is crucial. Regularization techniques, such as dropout or L2 regularization, can help prevent overfitting. Finally, monitoring the training process and adjusting the model as needed can help improve its performance.
-
How does neural computation work?
Neural computation refers to the process by which the brain processes and analyzes information. It involves the transmission of electrical signals between neurons, which are specialized cells that make up the nervous system. These signals are passed through synapses, or connections between neurons, and can be either excitatory or inhibitory. The brain integrates and processes these signals to generate responses and behaviors. Overall, neural computation is a complex and dynamic process that underlies all cognitive functions and behaviors.
Similar search terms for Neural:
-
Quantum Machine Learning : Quantum Algorithms and Neural Networks
Quantum computing has shown a potential to tackle specific types of problems, especially those involving a daunting number of variables, at an exponentially faster rate compared to classical computers.This volume focuses on quantum variants of machine learning algorithms, such as quantum neural networks, quantum reinforcement learning, quantum principal component analysis, quantum support vectors, quantum Boltzmann machines, and many more.
Price: 141.50 £ | Shipping*: 0.00 £ -
Neural Machine Translation
Deep learning is revolutionizing how machine translation systems are built today.This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural language applications.Code examples in Python give readers a hands-on blueprint for understanding and implementing their own machine translation systems.The book also provides extensive coverage of machine learning tricks, issues involved in handling various forms of data, model enhancements, and current challenges and methods for analysis and visualization.Summaries of the current research in the field make this a state-of-the-art textbook for undergraduate and graduate classes, as well as an essential reference for researchers and developers interested in other applications of neural methods in the broader field of human language processing.
Price: 60.99 £ | Shipping*: 0.00 £ -
MATLAB Deep Learning : With Machine Learning, Neural Networks and Artificial Intelligence
Get started with MATLAB for deep learning and AI with this in-depth primer.In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolutional neural networks.In a blend of fundamentals and applications, MATLAB Deep Learning employs MATLAB as the underlying programming language and tool for the examples and case studies in this book. With this book, you'll be able to tackle some of today's real world big data, smart bots, and other complex data problems.You’ll see how deep learning is a complex and more intelligent aspect of machine learning for modern smart data analysis and usage. What You'll LearnUse MATLAB for deep learningDiscover neural networks and multi-layer neural networksWork with convolution and pooling layersBuild a MNIST example with these layersWho This Book Is ForThose who want to learn deep learning using MATLAB.Some MATLAB experience may be useful.
Price: 54.99 £ | Shipping*: 0.00 £ -
Toby's Helpful Spirits : Machine Learning For Kids: Neural Networks
Artificial intelligence (AI) and machine learning is finally accessible to everyone, including kids! Conceived by professional researchers and scientists at top U.S. universities, this book combines engaging stories, well-illustrated pictures, and kid-friendly writing to communicate scientific breakthroughs. Turn the young minds you love into scientific geniuses! In this book, Toby is considering the hypothetical situation in which he has to decide whether or not to buy video games again, but with a twist. Instead of seeking advice from all his friends, Toby how has four little spirits doing the work for him! This introduces more complexity into Toby's decision process, and it's this complexity that ultimately lies at the heart of neural networks in machine learning. End the series with a bang by learning how neural networks work! This book is a part of Rocket Baby Club's Machine Learning Series. In an age where computers and robots are becoming smarter and smarter, Rocket Baby Club offers unique educational solutions to help the next generation understand rapid developments in technology. Join Rocket Baby Club to become a Rocket Baby now!
Price: 17.00 £ | Shipping*: 3.99 £
-
How to program neural networks?
To program neural networks, you can use programming languages like Python and libraries such as TensorFlow or PyTorch. First, you need to define the architecture of the neural network by specifying the number of layers, types of activation functions, and the number of neurons in each layer. Then, you can compile the model by choosing an optimizer and a loss function. Finally, you can train the neural network using a dataset by fitting the model to the data and adjusting the weights through backpropagation.
-
What is neural computation 2?
Neural computation 2 refers to the process of information processing and decision-making within the brain using neural networks. It involves the complex interactions between neurons, synapses, and neurotransmitters to perform tasks such as learning, memory, and problem-solving. Neural computation 2 also encompasses the study of artificial neural networks, which are computational models inspired by the structure and function of the brain, and are used in various applications such as pattern recognition, machine learning, and artificial intelligence.
-
What am I doing wrong when training a neural network?
When training a neural network, there are several common mistakes that can be made. Some potential errors include using insufficient training data, not normalizing input data, choosing an inappropriate network architecture, setting incorrect hyperparameters, and overfitting the model to the training data. It is important to carefully tune these aspects of the neural network to achieve optimal performance.
-
Can artificial neural networks have feelings?
No, artificial neural networks do not have feelings. They are computational models designed to process and analyze data, but they do not possess consciousness or emotions like humans do. Neural networks operate based on mathematical algorithms and patterns, without the ability to experience emotions or feelings.
* All prices are inclusive of VAT and, if applicable, plus shipping costs. The offer information is based on the details provided by the respective shop and is updated through automated processes. Real-time updates do not occur, so deviations can occur in individual cases.