Python deep learning smart (29 risultati)

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Soft cover. Condizione: New. The book 'Learn AI with Python' is intended to provide you with a thorough understanding of artificial intelligence as well as the tools necessary to create your intelligent applications. This book introduces you to artificial intelligence and walks you through the process of establishing an AI environment on a variety of platforms. It dives into machine learning models and various predictive modeling techniques, including classification, regression, and clustering. Additionally, it provides hands-on experience with logic programming, ASR, neural networks, and natural language processing through real-world examples and fully functional Python implementation. Finally, the book deals with profound models of learning such as R-CNN and YOLO. Object detection in images is also explained in detail using Convolutional Neural Networks (CNNs), which are also explained. By the end of this book, you will have a firm grasp of machine learning and deep learning techniques, as well as a steered methodology for formulating and solving related problems.…

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paperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2024-03 Pages: 304 Publisher: China Machine Press This book combines the Baidu Smart Transportation Creative Competition and the Complete Model Group Competition of the National College Students' Intelligent Car Competition to provide a comprehensive and systematic introduction to the basic knowledge of Python and deep learning step by step. The book has 11 chapters. divided into four parts: Python Basic Knowledge System. Python File Processing and Data A.…

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PF. Condizione: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Use the power of deep learning with Python to build and deploy intelligent web applicationsKey Features Create next-generation intelligent web applications using Python libraries such as Flask and Django Implement deep learning algorithms and techniques for performing smart web automation Integrate neural network architectures to create powerful full-stack web applicationsBook DescriptionWhen used effectively, deep learning techniques can help you develop intelligent web apps. In this book, you'll cover the latest tools and technological practices that are being used to implement deep learning in web development using Python.Starting with the fundamentals of machine learning, you'll focus on DL and the basics of neural networks, including common variants such as convolutional neural networks (CNNs). You'll learn how to integrate them into websites with the frontends of different standard web tech stacks. The book then helps you gain practical experience of developing a deep learning-enabled web app using Python libraries such as Django and Flask by creating RESTful APIs for custom models. Later, you'll explore how to set up a cloud environment for deep learning-based web deployments on Google Cloud and Amazon Web Services (AWS). Next, you'll learn how to use Microsoft's intelligent Emotion API, which can detect a person's emotions through a picture of their face. You'll also get to grips with deploying real-world websites, in addition to learning how to secure websites using reCAPTCHA and Cloudflare. Finally, you'll use NLP to integrate a voice UX through Dialogflow on your web pages.By the end of this book, you'll have learned how to deploy intelligent web apps and websites with the help of effective tools and practices.What you will learn Explore deep learning models and implement them in your browser Design a smart web-based client using Django and Flask Work with different Python-based APIs for performing deep learning tasks Implement popular neural network models with TensorFlow.js Design and build deep web services on the cloud using deep learning Get familiar with the standard workflow of taking deep learning models into productionWho this book is forThis deep learning book is for data scientists, machine learning practitioners, and deep learning engineers who are looking to perform deep learning techniques and methodologies on the web. You will also find this book useful if you're a web developer who wants to implement smart techniques in the browser to make it more interactive. Working knowledge of the Python programming language and basic machine learning techniques will be beneficial.…

Taschenbuch. Condizione: Neu. Hands-On Python Deep Learning for the Web | Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow | Anubhav Singh (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Packt Publishing | EAN 9781789956085 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Smart Python for Machine Learning and Intelligent Systems: Deep Learning, Transfer Learning, and AI Engineering | Part 2 extends the foundations established in Part 1 by introducing the modern techniques that drive today's intelligent systems. The book provides a practical, implementation-oriented approach to deep learning with Python, covering neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), LSTMs, GRUs, and generative adversarial networks (GANs). It also explores transfer learning through feature reuse, fine-tuning, and domain adaptation, followed by advanced deep learning architectures including ResNet and other state-of-the-art models. The final chapters focus on AI engineering, model optimization, deployment, inference benchmarking, pruning, quantization, and the development of efficient production-ready intelligent systems. Throughout the book, theoretical concepts are reinforced with complete Python implementations, practical experiments, performance evaluation, and real-world case studies. Together with Part 1, this volume provides a comprehensive guide to modern machine learning, deep learning, and AI engineering using Python.…

Taschenbuch. Condizione: Neu. Smart Python for Machine Learning and Intelligent Systems | Deep Learning, Transfer Learning, and AI Engineering Part 2 | Alexander I. Iliev | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786630210927 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.…