Название: Build Your Own Neural Networks: Step-By-Step Explanation For Beginners
Автор: Kilho Shin
Издательство: Independently published
Год: 2024
Страниц: 210
Язык: английский
Формат: epub
Размер: 10.1 MB

Are you curious about how neural networks work and want to build your own from scratch? "Build Your Own Neural Networks" is the perfect guide for beginners looking to dive into the fascinating world of Artificial Intelligence (AI). "Build Your Own Neural Networks: Step-By-Step Explanation For Beginners" is designed to demystify the complexities of neural networks for those who are new to the field of Deep Learning. This book is your comprehensive guide to understanding and implementing neural networks from the ground up, using the PyTorch framework. Each chapter is structured to provide hands-on experience with practical code examples, detailed step-by-step explanations, and engaging mini-projects that ensure a practical understanding of the concepts discussed. This approach not only enhances learning but also makes the journey fun and interactive. By avoiding complex jargon and focusing on clear, simple explanations, we ensure that you gain a solid foundation in neural networks without feeling overwhelmed. To break down the abstract world of Neural Networks, we will start with one concrete tool- Python, amongst the most popular languages for Machine Learning (ML) and Deep Learning (DL) development. To best exploit Python’s various capabilities, an understanding of some fundamental concepts and functions is essential. This book is ideal for anyone who has a basic understanding of programming and a curiosity about AI and ML. Whether you are a student, a hobbyist, or a professional looking to switch careers, this book will equip you with the knowledge you need to start building your own neural networks. It's especially useful for readers who prefer learning by doing and enjoy hands-on projects that reinforce learning. No prior experience with Deep Learning frameworks is required, as we start from the very basics and gradually progress to more complex topics.

Название: Extending & Embedding Python Using C
Автор: Mike James
Издательство: I/O Press
Год: 2023
Страниц: 265
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Writing a C extension for Python is good for fun and profit! The fun part is that adding Python to C gives you so much more power and a deeper understanding of how Python works. The internals of Python are worth knowing about because they suggest new approaches to other problems. As well as being interesting, it is also a valuable skill. Extending & Embedding Python Using C tells you everything you need to know about the C API, which is what you use to create an extension. It is essentially the Python runtime and so exploring it tells you a lot about Python. You don’t need to be an expert Python programmer to create an extension, but it helps. As you are going to be writing mostly C code, programming in C is a more important skill for this task. While you don’t have to be a C expert, you do need to be reasonably competent and C aficionados will enjoy finding out about some of the clever techniques in use in the C API. Extending Python is a way of bringing any C-based application or library to a much wider audience. Converting Python functions into C functions is also a way of speeding things up. Moreover, you can provide access to hardware or system features that are usually inaccessible by creating an extension. The final chapter explains how to convert the skills you have gained in creating a Python extension to embed Python in a C program. This is a less common requirement, but it has some interesting advantages and possibilities and once you know how to create a Python extension it is easy.

Название: Deep C Dives: Adventures in C
Автор: Mike James
Издательство: I/O Press
Год: 2024
Страниц: 245
Язык: английский
Формат: pdf (true), epub
Размер: 10.0 MB

C is a language with a long past and probably a long future. Being one step up from assembler, it keeps the programmer close to the hardware and if you want to understand how your code takes control without all of the abstractions applied in other languages, C is the one to choose. The only problem is that many books and articles on the subject of C are written by programmers who are happier in higher-level languages – they tend to look down on C and try to explain it as if it were a defective Java or some other language. In Deep C Dives, Mike James provides in-depth exploration of the essence of C, identifying the strengths of its distinctive traits. This reveals that C has a very special place among the programming languages of today as a powerful and versatile option for low-level programming, something that is often overlooked in books written by programmers who would really rather be using a higher-level language. To emphasize the way in which chapters of this book focus on specific topics, they are referred to as “dives”, something that also implies a deep examination of the subject, suitable for programmers who already program in C. The intention is that you will encounter some things that you already know but will come to see them differently. You will also read things that take you into the lesser-understood areas of the C language, which only make sense when you view C as a machine-independent assembly language, which is a good way to find out more about how the machine works and influences the way things are implemented.

Название: Machine Learning and IoT Applications for Health Informatics
Автор: Pijush Samui, Sanjiban Sekhar Roy, Wengang Zhang, Y H Taguchi
Издательство: CRC Press
Год: 2025
Страниц: 251
Язык: английский
Формат: pdf (true), epub
Размер: 33.6 MB

This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all. The book covers recent advancements that will shape the future of healthcare and how artificial intelligence is revolutionizing disease detection, from analyzing chest X-rays for pneumonia to solving the secrets of our genes. It investigates the transformative potential of smart devices, real-time analysis of heart data, and personalized treatment plan creation. It shows how ML and IoT work and presents real-world examples of how they are leading to earlier and more accurate diagnoses and personalized treatments. Therefore, this edited book will be an invaluable resource for researchers, healthcare professionals, data scientists, or simply someone passionate about the future of healthcare. Readers will discover the exciting possibilities that lie ahead at the crossroads of ML, IoT, and health informatics. This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all.

Название: Python for Experimental Psychologists: A Fun Way of Learning How to Code Your Experiments and Analyses, 2nd Edition
Автор: Edwin S. Dalmaijer
Издательство: Routledge
Год: 2025
Страниц: 201
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Python for Experimental Psychologists equips researchers who have no prior programming experience with the essential knowledge to independently script experiments and analyses in the programming language Python. This book offers an excellent introduction, whether you are an undergraduate, a PhD candidate, or an established researcher. This updated edition is on Python 3 (the most current version). It starts by teaching the fundamentals of programming in Python and then offers several chapters on scripting experiments (displaying stimuli, obtaining and logging user input, precision timing, etc.) using the popular PsychoPy package. The remainder of the book is dedicated to data analysis and includes chapters on reading/writing to text files, time series, eye tracking, data visualisation, and statistics. Access to a companion website enriches the learning experience with colour figures, example stimuli, datasets, scripts, and a portable Windows installation of Python. This book assumes no prior knowledge, and its informal and accessible tone helps readers with backgrounds in experimental psychology and cognitive neuroscience to quickly understand Python. It serves as a useful resource not only for researchers in these fields but also for lecturers instructing on methodology and data analysis. Python for Experimental Psychologists demystifies programming complexities and empowers researchers to proficiently conduct experiments and analyse their results.

Название: Advanced ASP.NET Core 8 Security: Move Beyond ASP.NET Documentation and Learn Real Security, 2nd Edition
Автор: Scott Norberg
Издательство: Apress
Год: 2024
Страниц: 459
Язык: английский
Формат: pdf
Размер: 10.1 MB

Most .NET developers do not incorporate security best practices when creating websites. The problem? Even if you use all of the best practices that the ASP.NET team recommends, you are still falling short in several key areas due to issues within the framework itself. And most developers don’t use all of the best practices that are recommended. If you are interested in truly top-notch security, available sources don’t give you the information you need. Most blogs and other books simply state how to use the configurations within ASP.NET, but do not teach you security as understood by security professionals. Online code samples aren't much help because they are usually written by developers who aren’t incorporating security practices. This book solves those issues by teaching you security first, going over software best practices as understood by security professionals, not developers. Then it teaches you how security is implemented in ASP.NET. With that foundation, it dives into specific security-related functionality and discusses how to improve upon the default functionality with working code samples. And you will learn how security professionals build software security programs so you can continue building software security best practices into your own Secure Software Development Life Cycle (SSDLC). For software developers who have experience creating websites in ASP.NET and want to know how to make their websites secure from hackers and security professionals who work with a development team that uses ASP.NET. To get the most out of this book, you should already have a basic understanding of web programming and ASP.NET, including creating new projects, creating pages, and using jаvascript.

Название: Рецепты PHP. Для профессиональных разработчиков
Автор: Эрик Манн
Издательство: Питер
Год: 2024
Формат: PDF/epub
Страниц: 432
Размер: 11 Mb
Язык: Русский

В этом сборнике рецептов разработчики на PHP найдут надежные и проверенные решения распространенных задач. PHP — удивительно простой язык программирования, что объясняет, почему на нем написано более 75 % веб-сайтов в Интернете. Но он также невероятно терпим к ошибкам программирования, что может привести к тиражированию сомнительного кода.

Название: Learn Generative AI with PyTorch (Final Release)
Автор: Mark Liu
Издательство: Manning Publications
Год: 2024
Страниц: 434
Язык: английский
Формат: pdf (true)
Размер: 44.8 MB

Learn how generative AI works by building your very own models that can write coherent text, create realistic images, and even make lifelike music. Learn Generative AI with PyTorch teaches the underlying mechanics of Generative AI by building working AI models from scratch. Throughout, you’ll use the intuitive PyTorch framework that’s instantly familiar to anyone who’s worked with Python data tools. Along the way, you’ll master the fundamentals of General Adversarial Networks (GANs), Transformers, Large Language Models (LLMs), variational autoencoders, diffusion models, LangChain, and more! The generative AI projects you create use the same underlying techniques and technologies as full-scale models like GPT-4 and Stable Diffusion. You don’t need to be a Machine Learning expert—you can get started with just some basic Python programming skills. Transformers, Generative Adversarial Networks (GANs), diffusion models, LLMs, and other powerful Deep Learning patterns have radically changed the way we manipulate text, images, and sound. Generative AI may seem like magic at first, but with a little Python, the PyTorch framework, and some practice, you can build interesting and useful models that will train and run on your laptop. This book shows you how. Examples use simple Python. No Deep Learning experience required.

Название: Scientific dаta: A 50 Steps Guide using Python
Автор: Matthias Hofmann
Издательство: De Gruyter
Год: 2024
Страниц: 234
Язык: английский
Формат: pdf (true), epub
Размер: 32.7 MB

"Scientific dаta: A 50 Steps Guide using Python" is your guide towards experimental scientific data. It aims to bridge the gap between classical natural sciences as taught in universities and the ever-growing need for technological/digital capabilities, particularly in industrial research. Topics covered include instructions for setting up a workspace, guidelines for structuring data, examples for interfacing with results files and suggestions for drawing scientific conclusions therefrom. Additionally, concepts for designing experiments and visualizing the corresponding results are highlighted next to ways of extracting meaningful characteristics and leveraging those in terms of multi-objective optimizations. The concise problem-solution-discussion structure used throughout supported by Python code snippets emphasizes the work's focus on practitioners. This guide will provide you with a solid understanding of how to process and understand experimental data within a natural scientific context while ensuring sustainable use of your findings and processing as seen through a programmer's eyes.

Название: Multimodal Biometric Identification System: Case Study of Real-Time Implementation
Автор: Sampada Dhole, Vinayak Bairagi
Издательство: CRC Press
Год: 2025
Страниц: 142
Язык: английский
Формат: pdf (true), epub
Размер: 26.6 MB

This book presents a novel method of multimodal biometric fusion using a random selection of biometrics, which covers a new method of feature extraction, a new framework of sensor-level and feature-level fusion. Most of the biometric systems presently use unimodal systems, which have several limitations. Multimodal systems can increase the matching accuracy of a recognition system. This monograph shows how the problems of unimodal systems can be dealt with efficiently, and focuses on multimodal biometric identification and sensor-level, feature-level fusion. It discusses fusion in biometric systems to improve performance. Biometric systems use behavioural or physical characteristics to identify individuals. The fingerprint, face, iris, retina, palmprint, speech pattern, signature, gait, and many other characteristics are most often utilised in biometric systems. The two main uses of biometric systems are authentication and identification. A biometric system has various benefits over conventional tech- niques. Biometric characteristics are not lost or forgotten, unlike tokens and passwords. Biometric characteristics are difficult to duplicate, share, transfer, or steal. A biometric system functions as a pattern recognition system by collecting biometric data from each user, extracting a feature set from the collected data, and comparing the feature set with a template that has been stored in the database.