deep neural network design (64 resultados)

Condición: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Condición: New. In English.

Condición: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Paperback or Softback. Condición: New. Automated Deep Learning Using Neural Network Intelligence: Develop and Design Pytorch and Tensorflow Models Using Python 1.54. Book.

Condición: New.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Deep neural networks have revolutionized the field of artificial intelligence, enabling developers to build sophisticated models that learn from complex data. 'Practical Guides to Deep Neural Network Design' offers a comprehensive exploration of the key strategies and techniques required to design and deploy deep neural networks. By examining the intricacies of neural network architecture and training algorithms, this book provides actionable insights into building efficient, effective, and scalable deep learning models. With its data-driven approach and real-world examples, 'Practical Guides to Deep Neural Network Design' is an indispensable resource for developers seeking to harness the power of deep learning and unlock the full potential of their AI applications. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

paperback. Condición: New. Language:Chinese.Paperback. Pub Date: 2020-11-01 Pub Date: 2020-11-01 Publisher: Xi'an University of Electronic Science and Technology Press. from the status quo of deep neural network and AI chip. systematically discusses the current deep learning mainstream development platform and depth neural network based on FPGA platform implementation acceleration Development principle and application examples. The book mainly includes 5 parts: Chapters 1-2. introduced the development of deep neural ne.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Practical Guides to Deep Neural Network Design presents a structured approach to constructing effective neural architectures. The book covers foundational concepts, layer configurations, and training methodologies that influence model performance. It emphasizes the importance of experimentation and fine-tuning to achieve optimal results in complex tasks. This guide aims to assist practitioners in designing deep learning models that are both efficient and accurate across diverse applications. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Practical Guides to Deep Neural Network Design presents a hands-on approach to constructing advanced neural architectures. This book explores various design principles, layer configurations, and training techniques to develop effective deep learning models. It emphasizes real-world applications, model optimization, and scalability considerations. Readers will find detailed explanations of neural network components, enabling the creation of robust AI systems tailored to complex problems across diverse domains. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. Deep Dive into Neural Network Design and Optimization offers an in-depth exploration of constructing and refining neural architectures for enhanced performance. It discusses various training techniques, hyperparameter tuning, and optimization algorithms that improve model accuracy and efficiency. The book emphasizes practical strategies for designing neural networks tailored to specific problems, balancing complexity and computational cost. It aims to equip readers with the knowledge to develop sophisticated AI models capable of solving real-world challenges. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.

Softcover. Condición: New. Estado de la sobrecubierta: no dj. First. The design and optimization of neural networks is a complex and multifaceted challenge, requiring a deep understanding of both theoretical and practical considerations. 'Deep Dive into Neural Network Design and Optimization' provides a comprehensive guide to the principles, tools, and techniques of neural network design, from the development of novel architectures to the optimization of existing models. By examining the latest advancements in deep learning and AI, this book offers a clear roadmap for creating more efficient, effective, and innovative neural networks. Publication Year: 2025. SHIPPING TERMS - Depending on your location we may ship your book from the following locations: France, United Kingdom, India, Australia, Canada or the USA. This item is printed on demand.