Deep Learning with Python

Far, far away, in deep, dark space, was a star. A tiny twinkle. But it was Star Boy's home. Star Boy lived there all alone, with only his robot, Ace, for company. And although Ace was fun to play with

Two touching, ghostly tales by Harriet Goodwin and Leon Rosselson. In the first, Joe, struggling to come to terms with his mother's death, finds himself drawn into a spooky legend that lies deep benea

Road Traffic Modelling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. It examines both the commonly used traffic analysis methodologies as well the emerging ones that use deep learning methods. The book also shows how to understand statistical models and machine learning algorithms, and how to apply them to traffic modelling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, Road Traffic Modelling and Management: Using Statistical Monitoring and Deep Learning is for researchers and practitioners who want to improve the performance of intelligent transportation systems.

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

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

――――超人氣暢銷書《演算法圖鑑》姊妹作，機器學習初學者最佳入門書！―――― 人工智慧時代關鍵能力！深度學習深在哪裡？強化運算思維，建構邏輯概念，一次弄懂深度學習活用之道！ ★ 精闢剖析深度學習發展史，詳述機器學習的基礎知識！★ 完整解說熱門程式語言第一名Python的環境建構和基本語法！★ 圖像化示範TensorFlow和Keras的安裝，開發AI必學必讀！★ 介紹類神經網路

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this

深度學習（Deep Learning）如今已成為非常活躍的研究領域，同時也為現代機器學習鋪展了一條康莊大道。本書提供許多範例與清楚的說明，引導讀者進一步了解這個複雜領域中的一些主要概念。包括Google、微軟和Facebook這樣的業界龍頭，全都在其內部積極發展深度學習團隊。不過對於一般人來說，深度學習仍舊是個相當複雜而困難的主題。如果您熟悉Python，並具備微積分的背景知識，加上對於機器學習的

Become a Python Programming Expert With Ease!What if you had access to a python guide that literally takes you step by step through every essential process of learning the python language? Imagine you

If you are a Python programmer who wants to get started with performing data analysis using pandas and Python, this is the book for you. Some experience with statistical analysis would be helpful but

本書以自上而下和自下而上的方法來展示針對不同領域實際問題的深度學習解決方案，包括圖像識別、自然語言處理、時間序列預測和機器人操縱等。還討論了採用諸如TensorFlow、PyTorch、Keras和CNTK等流行的深度學習開源框架用於實際問題的解決方案及其優缺點。本書內容包括：用於深度學習的編程環境、GPU計算和雲端解決方案；前饋神經網絡與卷積神經網絡；循環與遞歸神經網絡；強化學習與生成對抗網絡；

國內外最具代表性案例兩大雲端應用、15項分類實例、9大專題實戰自然語言、文字識別、語音轉換、分析預測、物件自動標示、影像辦識真正實練！從資料收集整理、模型訓練調整，檢測修正到產出全面解秘！資料科學(Data Science)技術崛起後，人工智慧(Artificial Intelligence)、機器學習(Machine Learning)與深度學習(Deep Learning)儼然成為電腦科學最熱

【我們正在親手毀掉下一代的腦袋嗎？】Amazon 教育類冠軍書、哈佛神經科學家最沉痛的警告。為什麼給孩子最好的平板、最新的 AI 軟體，他們的學力與專注力卻持續崩盤？我們被告知「科技即進步」，但數據顯示：這是一場巨大的數位錯覺。哈佛神經科學家 Jared Cooney Horvath 博士，透過數十年的腦科學研究，揭穿 EdTech（教育科技）的神話：❌ 多媒體教學不等於學習：大腦在螢幕前更傾向於「快速瀏覽」，而非「深度思考」。❌ 數位工具的「培訓輪」效應：軟體讓孩子看起來學得很快，但一旦拿掉科技，他們連基本的邏輯與記憶都無法建立。❌ AI 的陷阱：一個不需要思考就能得到答案的環境，正在弱化人類大腦最核心的競爭力。這不是一本反對科技的書，而是一本「支持學習」的戰鬥手冊！Horvath 博士將告訴你，如何透過「人類的連結」重建教室的溫度，並為你的孩子打造一個足以應對 AI 時代的強健大腦。➤如果您是家長：請翻開這本書，了解如何守護孩子的注意力。➤如果您是老師：這本書將告訴您，為什麼您比任何軟體都更無可取代。別讓數位科技，成為孩子思維退化的推手。《The Digital Delusion》——現在就奪回教育的自主權！Our children are struggling.Schools, once alive with deep learning born of human connection, are now dominated by screens. The result is unmistakable: falling performance, fractured attention, and the slow erosion of rigorous thought.We were told that classroom technology was progress. It wasn't. In THE DIGITAL DELUSION, neuroscientist and educator Dr. Jared Cooney Horvath reveals why digital tools in school consistently undermine learning -- and what parents, teachers, and schools

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

建立智慧系統的概念、工具與技術“這是一本卓越的機器學習資源，有清楚、直觀的解說，以及大量實用技巧。”—François CholletKeras作者，《Deep Learning with Python》作者“這本書詳細介紹以神經網路解決問題的理論與做法；建議想要實際運用ML的人都要看這本書。”—Pete WardenTensorFlow行動主管深度學習經歷了一系列的突破之後，已經大幅推動了整個機

Get up to speed with the deep learning concepts of Pytorch using a problem-solution approach. Starting with an introduction to PyTorch, you'll get familiarized with tensors, a type of data structure u

Child's Play continues its reputation for high quality, 3D engineering with another innovative approach to play and learning. Discover the deep ocean jungle as you unravel this fascinating pop-up book