Tag: Deep

Free Download PyTorch: A Comprehensive Guide to Deep Learning for Beginners – A Step-by-Step Guide
English | 2024 | ASIN : B0DCZLSHH9 | 280 Pages | EPUB | 0.5 MB
PyTorch: A Comprehensive Guide to Deep Learning for Beginners – A Step-by-Step Guide is designed to demystify the world of deep learning, making it accessible to individuals with little to no programming experience. It focuses on practical implementation using PyTorch, a popular and user-friendly framework.

Free Download Deep Learning in Biomedical Signal and Medical Imaging
English | 2025 | ISBN: 1032622601 | 274 Pages | PDF (True) | 14 MB
This book offers detailed information on biomedical imaging using Deep Convolutional Neural Networks (Deep CNN). It focuses on different types of biomedical images to enable readers to understand the effectiveness and the potential. It includes topics such as disease diagnosis and image processing perspectives.

Free Download Deep Eutectic Solvents in the Textile Industry
English | 2024 | ISBN: 9819764327 | 102 Pages | PDF EPUB (True) | 23 MB
This book comprehensively explores the fascinating intersection of deep eutectic solvents (DES) and nanocellulose, focusing specifically on their extraction methods and textile applications. It delves into the revolutionary role of deep eutectic solvents in nanocellulose extraction. Deep eutectic solvents are a class of non-toxic, low-cost, and environmentally friendly solvents formed by combining hydrogen bond donors and acceptors. They possess unique properties that make them highly suitable for dissolving cellulose and facilitating nanocellulose extraction with enhanced efficiency and sustainability. The book begins by providing a thorough overview of nanocellulose, its types, properties, and potential applications in the textile industry. It then delves into the fundamentals of deep eutectic solvents, their composition, properties, and synthesis methods. The subsequent chapters focus on the extraction techniques and strategies employed to obtain nanocellulose using deep eutectic solvents, highlighting the advantages and challenges associated with each method. It also discusses the potential modifications and functionalizations of nanocellulose to enhance its compatibility with textile applications, such as surface grafting, blending, and composite formation. The last part of the book shifts its focus to the applications of deep eutectic solvents in the textile industries. It explores the textile materials fibers, yarns, fabrics, and modification and dyeing and highlights the resulting improvements in mechanical strength, moisture management, thermal insulation, and UV protection.

Free Download Das Transformation-Management-Office – Deep Dive:
Mit Hands-on-Mentalität die agile und digitale Transformationen umsetzen
Deutsch | 2024 | ISBN: 3662693348 | 150 Pages | PDF (True) | 3.3 MB

Free Download Dark Web and Deep Web Intelligence: Techniques for Investigating the Undernet
English | 2024 | ASIN : B0DFTNT65M | 356 Pages | EPUB | 0.4 MB
Unveil the hidden realms of the internet with Dark Web and Deep Web Intelligence: Techniques for Investigating the Undernet, a comprehensive guide by renowned expert Louis Schuster. This groundbreaking book dives deep into the shadowy corners of the digital world, offering a detailed exploration of the dark web and deep web, and equipping readers with essential tools and techniques for effective intelligence gathering and investigation.

Free Download Artificial Intelligence, Machine Learning, and Deep Learning
by Oswald Campesato
English | 2020 | ISBN: 1683924673 | 338 Pages | EPUB (True/Retail) | 7 MB

Free Download Applied Deep Learning with Keras: Solve complex real-life problems with the simplicity of Keras
English | 2019 | ISBN: 9781838555078 | 412 Pages | PDF EPUB (True) | 25 MB
Applied Deep Learning with Keras starts by taking you through the basics of machine learning and Python all the way to gaining an in-depth understanding of applying Keras to develop efficient deep learning solutions. To help you grasp the difference between machine and deep learning, the book guides you on how to build a logistic regression model, first with scikit-learn and then with Keras. You will delve into Keras and its many models by creating prediction models for various real-world scenarios, such as disease prediction and customer churning. You’ll gain knowledge on how to evaluate, optimize, and improve your models to achieve maximum information. Next, you’ll learn to evaluate your model by cross-validating it using Keras Wrapper and scikit-learn. Following this, you’ll proceed to understand how to apply L1, L2, and dropout regularization techniques to improve the accuracy of your model. To help maintain accuracy, you’ll get to grips with applying techniques including null accuracy, precision, and AUC-ROC score techniques for fine tuning your model.

Free Download Applied Deep Learning with Keras: Solve complex real-life problems with the simplicity of Keras
English | 2019 | ISBN: 9781838555078 | 412 Pages | PDF EPUB (True) | 25 MB
Applied Deep Learning with Keras starts by taking you through the basics of machine learning and Python all the way to gaining an in-depth understanding of applying Keras to develop efficient deep learning solutions. To help you grasp the difference between machine and deep learning, the book guides you on how to build a logistic regression model, first with scikit-learn and then with Keras. You will delve into Keras and its many models by creating prediction models for various real-world scenarios, such as disease prediction and customer churning. You’ll gain knowledge on how to evaluate, optimize, and improve your models to achieve maximum information. Next, you’ll learn to evaluate your model by cross-validating it using Keras Wrapper and scikit-learn. Following this, you’ll proceed to understand how to apply L1, L2, and dropout regularization techniques to improve the accuracy of your model. To help maintain accuracy, you’ll get to grips with applying techniques including null accuracy, precision, and AUC-ROC score techniques for fine tuning your model.

Free Download Angular and Deep Learning Pocket Primer
English | 2021 | ISBN: 1683924738 | 384 Pages | EPUB + PDF (True) | 3/4 MB
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic deep learning concepts and incorporate that knowledge into Angular 10 applications. It is intended to be a fast-paced introduction to some basic features of deep learning and an overview of several popular deep learning classifiers. The book includes code samples and numerous figures and covers topics such as Angular 10 functionality, basic deep learning concepts, classification algorithms, TensorFlow, and Keras. Companion files with source code and color figures are available for downloading with Amazon order number by writing to [email protected].

Free Download Large Language Models: A Deep Dive Bridging Theory and Practice by Uday Kamath , Kevin Keenan , Garrett Somers , Sarah Sorenson
English | PDF (True) | 2024 | 496 Pages | ISBN : 3031656466 | 30.7 MB
Large Language Models (LLMs) have emerged as a cornerstone technology, transforming how we interact with information and redefining the boundaries of artificial intelligence. LLMs offer an unprecedented ability to understand, generate, and interact with human language in an intuitive and insightful manner, leading to transformative applications across domains like content creation, chatbots, search engines, and research tools. While fascinating, the complex workings of LLMs-their intricate architecture, underlying algorithms, and ethical considerations-require thorough exploration, creating a need for a comprehensive book on this subject.