Learning Python in Deep

Build deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a

A gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a key element of deep learning and artificial intelligence, whi

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wr

Along with updating all chapters and Python code examples, the second edition of this bestseller includes new chapters on Gaussian processes, Boltzmann machines, and deep belief networks. It also revi

Create descriptors and see ideas and examples of how to use descriptors effectively. In this short book, you’ll explore descriptors in general, with a deep explanation of what descriptors are, how the

Looks at inventions that allow divers to explore deep below the surface of the ocean

Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion an

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniqu

用 Python + Keras 實踐深度學習, 解開神經網路模型的黑盒子在高階函式庫 Keras 的幫助下, 用 6 行程式就可寫一隻深度學習神經網路的程式, 建構深度學習模型就像玩樂高積木一樣, 可以輕易將各種神經網路組合在一起, 而每一種模型可用來解決不同的問題。正宗 Keras 大神著作，正體中文版重磅登場本書為 Keras 之父 François Chollet 親自撰寫, 詳細解說神經

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you

Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by Facebook's Artificial Intelligence Research Group.You'll start with a perspective on how and why deep learning with PyTorch has emerged as an path-breaking framework with a set of tools and techniques to solve real-world problems. Next, the book will ground you with the mathematical fundamentals of linear algebra, vector calculus, probability and optimization. Having established this foundation, you'll move on to key components and functionality of PyTorch including layers, loss functions and optimization algorithms. You'll also gain an understanding of Graphical Processing Unit (GPU) based computation, which is essential for training deep learning models

本書通過大量實例，全面、系統、深入地講解了Python編程基礎及應用開發。主要包括： Python概述及開發環境、Python編程基礎、Python函數及模塊、面向對象編程、 Python界面設計、Python數據庫編程、Python網絡編程、Python網站開發、Python繪圖與圖像處理、Python科學計算。

本書共22章，分為三個部分。第一部分(第1～5章)為Python及應用數學基礎部分，介紹Python和TensorFlow的基石Numpy，深度學習框架的鼻祖Theano，以及機器學習、深度學習算法應用數學基礎等內容。第二部分(第6～20章)為深度學習理論與應用部分，介紹機器學習的經典理論和算法，深度學習理論及方法，TensorFlow基於CPU、GPU版本的安裝及使用、TensorFlow基礎、

Beginning Python: Using Python 2.6 and Python 3.1 introduces this open source, portable, interpreted, object-oriented programming language that combines remarkable power with clear syntax. This book e

Are You Interested In Learning Python? Would You Like To Know The Secrets To Programing? Want To Master The Basics Of Python Programming? Yes, this is the perfect book for you to get started with thi

《Python編程實戰》是一本語法與實踐相結合的Python入門教程，以簡明的語言、易懂的案例介紹Python編程。 《Python編程實戰》共11章，其中，第1-4章介紹Python的基礎知識，如Python的下載與安裝，Python結構，Python程序、算法和函數，Python擴展、文件和繪圖；第5-8章介紹Python的類和方法、標準庫、高級編程和仿真測試

本書是《Deep Learning : 用Python進行深度學習的基礎理論實作》的續篇，將延續上一本書，繼續介紹與深度學習有關的技術。本書尤其偏重在自然語言處理及時間序列資料處理上，使用深度學習，挑戰各式各樣的問題。和上一本著作一樣，以「從零開始建構」為概念，詳盡介紹與深度學習有關的先進技術。 簡單來說，自然語言處理是指，讓電腦瞭解我們平常說話內容的技術。事實上，這種自然語言處理技術已經大大改變

‧以Python 3000(Py3K或Python 3.0)為教學重點‧介紹Python 3.0與Python 2.x版的差異性‧從基礎到深入的介紹，實際的範例程式與解說，幫助您精通Python的撰寫及應用‧以Python 3000(Py3K或Python 3.0)為教學重點‧介紹Python 3.0與Python 2.x版的差異性‧從基礎到深入的介紹，實際的範例程式與解說，幫助您精通

本書共八個項目，內容包括：初識Python、學習Python運算符、學習Python數據類型、學習Python流程控制、學習Python函數與數據結構算法、學習Python面向對象、學習Python異常處理與正則表達式、學習Python模塊與文件操作。

Introducing Your Guide to Learning PythonIllustrated Guide to Learning Python is designed to bring developers and others who are anxious to learn Python up to speed quickly. Not only does it teach the

本書全面介紹了Python編程的基礎知識和實用技術，內容包括：Python概述、Python語言基礎、常用Python語句、Python函數、Python模塊、I/O編程、使用Python程序控制計算機、Python數據結構、多任務編程、Python網絡編程、Python數據庫編程、Web框架開發以及附錄實驗。本書既可以作為大學本、專科“應用程序設計”課程的教材，也可以作為Web開發人員的參考用書。

《Python超實用：全彩：你的Python實踐工具書》全面介紹了Python與編程的基礎知識，也講解了如何開發應用於不同場景的程序。讀者可跟隨作者的講解進行實際的操作和練習。《Python超實用：全彩：你的Python實踐工具書》是面向各層次的Python讀者而作的Python入門書，全書共分為9個部分，主要介紹了包括Python的基本概念、Python庫、Tello EDU編程、用Python