Deep Learning with Python

Create a rich learning environment and support deeper thinking with primary sources. This resource provides teachers with thought-provoking questions to help students perform deep analysis of various

For the Internet generation, educational technology designed with the brain in mind offers a natural pathway to the pleasures and rewards of deep learning. Drawing on neuroscience and cognitive psycho

Educator and neuroscientist Dr. Jared Cooney Horvath reveals why digital tools in school consistently undermine learning--and what parents, teachers, and schools can do to push back with purpose. Our children are struggling. Schools, once alive with deep learning born of human connection, are now dominated by screens and digital tools. The result is unmistakable: falling performance, fractured attention, and the slow erosion of rigorous thought. For the first time in the history of standardized cognitive measurement, children are consistently scoring lower on key measures of cognitive development. We were told that classroom technology was progress. It wasn't. In The Digital Delusion, neuroscientist and educator Dr. Jared Cooney Horvath shows how the widespread use of laptops, tablets, and educational software in classrooms is quietly undermining how children learn, think, and develop. Drawing on decades of neuroscience and education research, Horvath dismantles the core myths driving

Join Liko and Roy on their journey to become real Pokémon Trainers as they embark on a series of training battles.This simple story book is accessible to young readers who are learning to read independently.Liko, Sprigatito, Roy, and Fuecoco are now official members of the Rising Volt Tacklers and ask Friede to train them, but Friede has an electrifying surprise in store for them. Will they manage to dig deep and uncover what it takes to become true Pokémon Trainers?This Level 2 reader includes longer sentence structures, more challenging vocabulary, paragraphs and short chapter lengths.

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

From the New York Times bestselling author of Girl in Pieces comes a novel about love and loss and learning how to continue when it feels like you're surrounded by darkness that Karen M. McManus, the New York Times bestselling author of One of Us Is Lying, calls rare and powerful. Here is what happens when your mother dies. It's the brightest day of summer and it's dark outside. It's dark in your house, dark in your room, and dark in your heart. You feel like the darkness is going to split you apart. That's how it feels for Tiger. It's always been Tiger and her mother against the world. Then, on a day like any other, Tiger's mother dies. And now it's Tiger, alone. Here is how you learn to make friends with the dark. Stunning and beautifully written.-HelloGiggles A rare and powerful novel, How to Make Friends with the Dark dives deep into the heart of grief and healing with honesty, empathy, and grace. --Karen M. McManus, New York Times bestselling author of One of Us Is Lying and Two C

Ways with Words, first published in 1983, is a classic study of children learning to use language at home and at school in two communities only a few miles apart in the south-eastern United States. 'Roadville' is a white working-class community of families steeped for generations in the life of textile mills; 'Trackton' is an African-American working-class community whose older generations grew up farming the land, but whose existent members work in the mills. In tracing the children's language development the author shows the deep cultural differences between the two communities, whose ways with words differ as strikingly from each other as either does from the pattern of the townspeople, the 'mainstream' blacks and whites who hold power in the schools and workplaces of the region. Employing the combined skills of ethnographer, social historian, and teacher, the author raises fundamental questions about the nature of language development, the effects of literacy on oral language habit

A new paradigm for teachers to open their classrooms and cultivate deep professional learning Teaching is an isolating profession. Most educators receive minimal feedback on their craft, typically lim

Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you'll understand that many applications are now de

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

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

這本書引導讀者從廣闊的人工智慧來到深度學習的核心概念，深化對機器學習的理解，並揭示電腦視覺如何利用機器學習來模仿和擴展人類的視覺能力。深度學習顯著提升了電腦視覺技術的效能，而成功的電腦視覺案例又進一步推進深度學習領域的發展，形成一個良性循環。　書中不僅提供扎實的理論基礎，更搭配豐富實用的範例，這些範例都是用強大且被廣泛運用的 Python 程式語言編寫。透過這些範例，讀者能更直觀地掌握書中所述的概念，並將理論付諸實踐。　本書特別為對影像處理與電腦視覺懷抱熱情的讀者而設計，無論是大學部或研究所的學生，或是渴望自學精進的其他族群，都能從中獲益良多。

建立智慧型系統的概念、工具與技術「這是一本出色的機器學習資源，包含淺顯易懂的解說，以及豐富的實用技巧。」—François CholletKeras作者，《Deep Learning with Python》作者「本書是運用神經網路來解決問題的絕佳入門資源，涵蓋理論及實踐。推薦給想學習實用機器學習技術的人。」—Pete WardenTensorFlow行動主管深度學習在經歷了一系列的突破之後，已經推動了整個機器學習領域的發展。如今，即使是對於這項技術非常陌生的程式設計師，也能夠使用簡單、高效率的工具，寫出能從資料中學習的程式。這本暢銷書使用具體的例子、最少的理論，以及具備生產水準的Python框架(Scikit-Learn、Keras和TensorFlow)來協助你直接瞭解智慧系統的建構概念與工具。在這本第三版中，作者Aurélien Géron將探索一系列的技術，從簡單的線性回歸開始，逐步發展到深度神經網路。本書包含許多範例程式和習題來幫助活用所學，只要具備一些程式設計經驗即可入門。‧使用Scikit-Learn自始至終完成機器學習專案‧探索多種模型，包括支援向量機、決策樹、隨機森林，和集成方法‧運用無監督學習技術，例如降維、聚類法和異常檢測‧深入探討神經網路架構，包括摺積神經網路、遞迴網路、生成對抗網路、自動編碼器、擴散模型、轉換器‧使用TensorFlow和Keras建構和訓練神經網路，以進行計算機視覺、自然語言處理、生成模型和深度強化學習

若要打造可推理及提取外部資料、理解前後脈絡、可投入正式環境的 AI 應用程式，你就必須熟悉熱門的開發框架與平台 LangChain。它可以用來建立、執行與管理有自主行動能力的 app。目前已有許多頂尖公司採用 LangChain，包括 Zapier、Replit、Databricks 等。對於已經學會 Python 或 JavaScript，且想要掌握 AI 能力的新手開發者而言，本書是必備的學習資源。 作者 Mayo Oshin 與 Nuno Campos 透過實用的見解與深入的教學，帶領你逐步掌握 LangChain 的運用。從基礎概念開始，一步步帶你建立一個可正式上線，並且能夠使用個人資料的 AI agent。 • 運用 retrieval-augmented generation（RAG）技術，結合外部的即時資料來提升 LLM 的準確性。 • 開發並部署能夠與使用者聰明地互動，並且記得前後脈絡的 AI 應用程式。 • 透過 LangGraph 來使用強大的 agent 架構。 • 整合並管理第三方 API 與工具，以擴充 AI 應用程式的功能。 • 監控、測試與評估 AI 應用程式，以提升效能。 • 瞭解 LLM app 開發的基礎知識，並學習如何在 LangChain 上加以活用。 ------------------------------------------------------------- 「本書包含條理分明的講解和可落實的技巧，是掌握 LangChain 的強大功能，並用它來製作可上線的生成式 AI 與 agent 的首選資源。對於想充分利用此平台之潛力的開發者來說，是必讀之作。」 ── Tom Taulli，IT 顧問暨《AI輔助程式開發》作者 「這本完整的指南涵蓋文件提取與檢索，以及在正式環境中部署與監控 AI agent 的完整知識。透過引人入勝的範例、直覺的圖解與實際的程式碼，讓 LangChain 變得既有趣又好玩！」 ── Rajat K. Goel，IBM 資深軟體工程師 「這是一本完整的 LLM 指南，不只介紹基礎知識，也探討生產階段，充滿技術見解、實用策略，以及強大的 AI 模式。」 ── Gourav Singh Bais，Allianz Services 資深資料科學家暨技術內容撰寫人

Ⓞ 16 堂課引領入門, 學得會、做得順的絕佳教材！Ⓞ 最詳盡的深度學習基石書, CNN + RNN + GAN + DQN + DRL 各種模型學好學滿初學者想要自學深度學習 (Deep Learning), 可以在市面上找到一大堆「用 Python 學深度學習」、「用 xxx 框架快速上手深度學習」的書；也有不少書說「請從數學複習起！」, 捲起袖子好好探究底層那些數學原理......但過早切入

PyTorch是Facebook於2017年初在機器學習和科學計算工具Torch的基礎上，針對Python語言發佈的一個全新的機器學習工具套件，一經推出便受到業界廣泛關注和討論，目前已經成為機器學習從業人員首選的一款研發工具。 本書是使用PyTorch建構神經網絡模型的實用指南，內容分為9章，包括PyTorch與深度學習的基礎知識、神經網路的構成、神經網路的高階知識、機器學習基礎知識、深度學習在電腦視覺上的應用、深度學習在序列資料和文字當中的應用、生成網路、現代網路架構，以及PyTorch與深度學習的未來走向。 本書適合對深度學習領域感興趣且希望一探PyTorch究竟的業界人士閱讀。具備其他深度學習框架使用經驗的讀者，也可以透過本書掌握PyTorch的用法。 本書範例檔： https://github.com/PacktPublishing/Deep-Learning-with-PyTorch

Will artificial intelligence usher in a new age of prosperity, or are we sowing the seeds of our own destruction? Some scientists have long feared that AI will lead to human extinction, as ever more ruthless and capable machines elbow us aside. In certain circles it has even become fashionable to stockpile supplies in underground bunkers to prepare for a dystopian future. Optimists argue that AI will be a terrific boon, not least to science and medicine. For instance, MIT researchers have used a deep learning model to identify a chemical compound to treat E. Coli infections. And the 2024 Nobel Prize in Chemistry was awarded to the developers of Google DeepMind for mapping proteins far quicker than previously possible. Toby Walsh has worked in AI since before most people had a computer. In God AI, he guides us with humour and humanity through the claims and the counter-claims – and helps us make up our own minds about one of the biggest issues of our time.

Get ready to be dazzled by some of the shiniest, most colorful, useful―and even dangerous―rocks, minerals, and gems on the planet!In this Level 3 reader, discover fascinating facts about the incredible rocks and minerals under our feet and deep in Earth’s crust. Budding geologists will love reading about how rocks form, learning the names and features of the coolest rocks and minerals, and exploring rare and beautiful gemstones.Key features include:Expert-vetted text appropriate for ages 7 to 9Brilliant and eye-catching National Geographic images100 fun facts sprinkled throughout the book* A fact roundup at the end of each book for kids to review what they’ve learnedPacked with weird-but-true facts and tons of cool info, this Level 3 reader explores the incredible world of geology.About the series: This high-interest, educationally-vetted readers series features magnificent National Geographic images accompanied by text written by experienced, skilled children’s book authors. Each read

本書主要介紹了深度學習的基本概念和常用網絡以及Theano在深度學習中的應用。全書共13章，首先介紹了Theano的基礎知識，包括張量、計算圖、符號計算、張量算子、自動微分等概念，然後分別介紹了基於前饋神經網絡的手寫體數字分類、單詞的向量編碼、基於遞歸神經網絡的文本生成、基於雙向LSTM的情感分析、基於空間變換網絡的定位、基於剩餘網絡的圖像分類、基於編碼―解碼網絡的翻譯與解釋、基於注意力機制的相關

Packed with current research and examples, bestselling COMMUNICATION BETWEEN CULTURES, 9E equips students with a deep understanding and appreciation of different cultures while helping them develop pr

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

Learn how to think and engage like a scientist! BIOLOGY: THE DYNAMIC SCIENCE, Second Edition, provides you with a deep understanding of the core concepts in Biology, building a strong foundation for a

Learn how to think and engage like a scientist! BIOLOGY: THE DYNAMIC SCIENCE, Second Edition, provides you with a deep understanding of the core concepts in Biology, building a strong foundation for a

Learn how to think and engage like a scientist! BIOLOGY: THE DYNAMIC SCIENCE, Second Edition, provides you with a deep understanding of the core concepts in Biology, building a strong foundation for a

Learn how to think and engage like a scientist! BIOLOGY: THE DYNAMIC SCIENCE, Second Edition, provides you with a deep understanding of the core concepts in Biology, building a strong foundation for a

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

本書通過96個案例，全面講解了深度學習神經網路原理和TensorFlow使用方法。全書共分為3篇，第1篇深度學習與TensorFlow基礎，包括快速瞭解人工智慧與TensorFlow、搭建開發環境、TensorFlow基本開發步驟、TensorFlow程式設計基礎、識別圖中模糊的手寫數位等內容；第2篇深度學習基礎――神經網路，介紹了神經網路的基礎模型，包括單個神經元、多層神經網路、卷積神經網路、迴

《深度學習原理與PyTorch實戰》按照從理論到實踐，從實踐到創造的順序講解深度學習領域的知識與技術，代碼翔實，公式簡單易懂。 《深度學習原理與PyTorch實戰》第1章介紹深度學習的概念和目前的形勢，第2章介紹Python編程語言基礎，第3章使用Python語言計算極限、導數、級數等數學問題，第4章講解深度學習的基本原理與PyTorch框架的基本使用，第5章和第6章詳細講述經典網絡結構CNN和

Shift classroom structures to enhance student success. By becoming learning partners with their students, teachers can help them develop enthusiasm for learning and employ deep learning goals. Discove

Fiction. A.W. DeAnnuntis writes with verve, deep learning, and comedic panache, creating improbable worlds that manage, somehow, to make sense.

Idiot's Guides: Beginning Programming takes the fear out of learning programming by teaching readers the basics with Python, an open-source (free) environment which is considered one of the easiest la

Combine hard work and deep fun in classrooms with digital game–based learning. Students of the always-on generation gain information through different tools and learn differently than generations befo

Deep in the forests, a cave troll named Bog has spent his young life hunting with his father, Jeddal, learning what it means to be a troll, and avoiding humans whenever possible. Until someone called

This book is a comprehensive and thorough introduction to children’s and young adult literature in English language education. Reading is promoted as central to language education in order to experience perspectives from around the world, and the book demonstrates the many opportunities for teaching with compelling story, encouraging an active and engaged community of second language readers through challenging picturebooks, motivating graphic novels, dynamic plays, enchanting verse novels and compelling young adult fiction. Using many examples of literary texts that are well suited to the primary or secondary classroom, the book focuses on the advantages of deep reading and the vital importance of in-depth learning. In-depth learning is an approach that involves the students as motivated participants, working collaboratively and with empathy while preparing for and confronting the challenges of the 21st century. Illustrating the approach with a Deep Reading Framework based in researc

Children will have fun learning opposites with Blippi in this imaginative, illustrated 8 x 8 paperback with giant foldout flaps that reveal silly surprises! From high up in space to deep down in the ocean, Blippi and his dog visit many places as they introduce opposites in Blippi: Let's Look High and Low! Kids can join their adventures and delight in discovering opposites such as high/low, full/empty, hot/cold, and much more. Fold out the flaps for silly surprises that help make the learning even more easy and fun!

With the advent of the Al era, professionals need to select the right tools to meet new opportunities and challenges! This instructional material focuses on the application of big data analysis, text mining, and machine learning in auditing to assist readers in understanding the latest developments in data analysis and smart audit.JCAATs is a new generation audit software developed by Python, which can be executed in a Windows and MAC operation systems with a multi-language, visual, and easy-to-use interface. Non-IT professionals can easily conduct smart data analysis. Through JCAATs' built-in data fusion technology and OPEN DATA connector, heterogeneous data can be quickly analyzed in real-time and effectively identifying anomalies. The features of this book include:The book is structured to provide a progressive learning experience, with chapters covering different concepts and applications, as well as exercises and practice questions. The official textbook endorsed by ICAEA

Big History seeks to retell the human story in light of scientific advances by such methods as radiocarbon dating and genetic analysis. This book provides a deep, causal view of the forces that have shaped the universe, the earth, and humanity. Starting with the Big Bang and the formation of the earth, it traces the evolutionary history of the world, focusing on humanity's origins. It also explores the many natural forces shaping humanity, especially the evolution of the brain and behaviour. Moving through time, the causes of such important transformations as agriculture, complex societies, the industrial revolution, the enlightenment, and modernity are placed in the context of underlying changes in demography, learning, and social organization. Humans are biological creatures, operating with instincts evolved millions of years ago, but in the context of a rapidly changing world, and as we try to adapt to new circumstances, we must regularly reckon with our deep past.

This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.

Application of Artificial Intelligence in Hybrid Electric Vehicle Energy Management presents the state-of-the-art in hybrid electric vehicle system modelling and management. With a focus on learning-based energy management strategies, the book provides detailed methods, mathematical models, and strategies designed to optimize the energy management of the energy supply module of a hybrid vehicle.The book first addresses the underlying problems in Hybrid Electric Vehicle (HEV) modeling, and then introduces several artificial intelligence-based energy management strategies of HEV systems, including those based on fuzzy control with driving pattern recognition, multi objective optimization, fuzzy Q-learning and Deep Deterministic Policy Gradient (DDPG) algorithms. To help readers apply these management strategies, the book also introduces State of Charge and State of Health prediction methods and real time driving pattern recognition. For each application, the detailed experimental process

This book is an advanced introduction to semantics that presents this crucial component of human language through the lens of the 'Meaning-Text' theory - an approach that treats linguistic knowledge as a huge inventory of correspondences between thought and speech. Formally, semantics is viewed as an organized set of rules that connect a representation of meaning (Semantic Representation) to a representation of the sentence (Deep-Syntactic Representation). The approach is particularly interesting for computer assisted language learning, natural language processing and computational lexicography, as our linguistic rules easily lend themselves to formalization and computer applications. The model combines abstract theoretical constructions with numerous linguistic descriptions, as well as multiple practice exercises that provide a solid hands-on approach to learning how to describe natural language semantics.