This volume covers a comprehensive range of fundamental concepts in deep learning and artificial neural networks, making it suitable for beginners looking to learn the basics.Using Keras, a popular neural network API in Python, this book offers practical examples that reinforce the theoretical concepts discussed. Real-world case studies add relevance by showing how deep learning is applied across various domains. The book covers topics such as layers, activation functions, optimization algorithms, backpropagation, convolutional neural networks (CNNs), data augmentation, and transfer learning - providing a solid foundation for building effective neural network models.This book is a valuable resource for anyone interested in deep learning and artificial neural networks, offering both theoretical insights and practical implementation experience.

N� de ref. del art�culo LU-9781041102687

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Handbook of Deep Learning Models
Editor: Taylor and Francis Ltd, GB
Fecha de publicaci�n: 2025
Idioma: Ingl�s
ISBN 10: 1041102682
ISBN 13: 9781041102687
Encuadernaci�n: Hardback
Estado: New
Peso: 740 gramos

Acerca de

Sinopsis

This volume covers a comprehensive range of fundamental concepts in deep learning and artificial neural networks, making it suitable for beginners looking to learn the basics.

Using Keras, a popular neural network API in Python, this book offers practical examples that reinforce the theoretical concepts discussed. Real-world case studies add relevance by showing how deep learning is applied across various domains. The book covers topics such as layers, activation functions, optimization algorithms, backpropagation, convolutional neural networks (CNNs), data augmentation, and transfer learning – providing a solid foundation for building effective neural network models.

This book is a valuable resource for anyone interested in deep learning and artificial neural networks, offering both theoretical insights and practical implementation experience.

Acerca del autor

Anuj Bhardwaj is a distinguished author, educator, and entrepreneur, currently serving as the director, IQAC, and professor of computer science and engineering at Chandigarh University, and Founder of Data Matrix Experts Pvt. Ltd. With over 17 years of academic and research experience, he holds a PhD in computer science and a master’s from BIT Mesra. Dr. Bhardwaj has authored six books with leading publishers, filed multiple patents, contributed nine book chapters, and published over 56 research papers. His expertise spans AI, neural networks, parallel computing, and computer vision. A mentor to many MTech and PhD scholars, he actively contributes to educational initiatives and continues to inspire through his work in advancing education technology.

Vaibhav Chaudhari obtained his integrated dual degree in BE computer science and MSc physics from BITS Pilani K.K. Birla Goa Campus in 2022. Vaibhav is currently working as a member of Technical Staff-3 in Nutanix. He is a member of the AHV Management team and works on distributed systems and VM Management Lifecycle. He has done multiple interdisciplinary projects in the fields of artificial intelligence, astrophysics, high-throughput biological analysis, and satellite data analysis, and his research interests lie in the field of application of artificial intelligence tools to solve real-world problems. He has published 12 research articles and two patents under his name.

Ankur Dumka is an associate professor with additional responsibilities as the dean (academic and research) and head of department, Computer Science and Engineering, the Women Institute of Technology, Dehradun. He has more than 14 years of experience and contributed 140 research papers, 15 book chapters, seven authored books, eight patents granted under his name, and seven patents published. Currently, he holds one R&D project with a grant exceeding ₹10 lakh and has completed one consultancy project of Government Medical College, Haldwani. Also, he was the coordinator of Smart City Dehradun for the drafting of the proposal.

Arnav Pandey is a graduate of St. Joseph’s Academy, Dehradun, and has been accepted into the University of California, Los Angeles (UCLA), USA, as a bachelor of technology student majoring in computer science. He has more than three years of experience in the field, with his primary areas of research being deep learning, artificial intelligence, and machine learning. He has authored four research papers, two authored books’ proposal accepted, two book chapters, and has one patent filed under his name. He is currently serving as a research trainee on a project exceeding ₹10 lakh in value and is actively working in the domain of generative AI.

Er. Devarasetty Purna Sankar is a seasoned senior software engineer at Data Foundry Pvt. Ltd., specializing in machine learning solutions for the health and finance sectors. With over seven years of experience and a postgraduate diploma in artificial intelligence and machine learning from IIIT Bangalore, he has contributed to impactful projects for Fortune 500 companies. Purna is an award-winning professional recognized for innovation, performance, and excellence in hackathons. Moreover, he is AWS certified, demonstrating strong expertise in cloud-enabled ML solutions. Beyond work, he enjoys hiking, playing badminton, and blending his technical acumen with creativity as an author, aiming to inspire and explore AI’s societal impact through his writing.

Parag Verma is an accomplished AI data scientist and technical lead, associated with AIGC, a vertical of Algihaz Holding. With over a decade of experience in artificial intelligence and machine learning, he has specialized in delivering cutting-edge solutions across healthcare, life sciences, and robotics. His professional journey includes impactful roles at Data Foundry Pvt. Ltd., R2E Technologies, and Yuvayana Tech and Craft, along with contributions to various government projects with DST, UCOST, and UBMS. Dr. Verma holds a PhD in artificial intelligence and machine learning, a postgraduate degree in robotics engineering, and a bachelor’s in computer science. His work is backed by multiple certifications from renowned institutions such as Stanford, Duke, Google Cloud, and the University of Pennsylvania. A recognized innovator and hackathon winner, he continues to push the boundaries of AI through research and real-world application.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

RAREWAVES.COM LIMITED
Elsley Court, 20-22 Great Titchfield Street, London, W1W 8BE, United Kingdom

Condiciones de venta y env�o

Condiciones de venta

Derecho al desistimiento

Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona f�sica que act�e con fines ajenos a su actividad comercial, empresarial, oficio o profesi�n.

Informaci�n sobre el derecho de desistimiento

Derecho legal de desistimiento

Tiene derecho a rescindir este contrato en un plazo de 14 d�as sin dar ning�n motivo.

El periodo de desistimiento vencer� a los 14 d�as desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesi�n f�sica del �ltimo bien o del �ltimo lote o pieza.

Para ejercer el derecho de desistimiento, complete de forma electr�nica y env�e una declaraci�n clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a trav�s de un soporte duradero (por ejemplo, por correo electr�nico).

Para cumplir con el plazo de desistimiento, basta con que env�e su comunicaci�n relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.

Efectos del desistimiento

Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de env�o (excepto los gastos adicionales que surjan si elige un tipo de env�o que no sea el tipo de env�o est�ndar m�s econ�mico que ofrecemos).

Podemos hacer una deducci�n del reembolso por la p�rdida de valor de cualquier bien suministrado, si la p�rdida es el resultado de una manipulaci�n innecesaria por su parte.

Efectuaremos el reembolso sin demoras indebidas y, a m�s tardar, 14 d�as despu�s de que se nos informe de su decisi�n de rescindir este contrato.

Efectuaremos el reembolso utilizando el mismo medio de pago que utiliz� para la transacci�n inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrir� en ning�n cargo como resultado de dicho reembolso.

Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.

Deber� devolver los bienes o entregarlos a Rarewaves.com USA, Unit 144 The Lightbox, 111 Power Road, W4 5PY, London, London, United Kingdom, sin demoras indebidas y, en cualquier caso, en un plazo m�ximo de 14 d�as a partir del d�a en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercanc�a antes de que venza el periodo de 14 d�as. Tendr� que asumir los gastos directos de devoluci�n de los bienes. Usted solo es responsable de la disminuci�n del valor de los bienes como resultado de una manipulaci�n distinta a la necesaria para establecer la naturaleza, las caracter�sticas y el funcionamiento de los bienes.

Excepciones al derecho de desistimiento

El derecho de desistimiento no se aplica a lo siguiente:

La entrega de peri�dicos, diarios o revistas, con la excepci�n de los contratos de suscripci�n; y
El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, acept� que pod�amos empezar a entregarlo y que no podr�a desistir una vez iniciada la entrega.

Condiciones de env�o

Please note that we do not offer Priority shipping to any country.

We currently do not ship to the below countries:

Russia
Belarus
Ukraine

Please do not attempt to place orders with any of these countries as a ship to address - they will be cancelled.

Tarifas de env�o de Reino Unido a Estados Unidos de America

Tarifas de env�o de Reino Unido a Estados Unidos de America
Cantidad del pedido	De 9 a 14 d�as h�biles	De 9 a 14 d�as h�biles
Primer art�culo	EUR 0.00	EUR 0.00

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.