You may read code because you have to-to fix it, inspect it, or improve it. You may read code the way an engineer examines a machine--to discover what makes it tick. Or you may read code because you are scavenging--looking for material to reuse. Code-reading requires its own set of skills, and the ability to determine which technique you use when is crucial. In this indispensable book, Diomidis Spinellis uses more than 600 real-world examples to show you how to identify good (and bad) code: how to read it, what to look for, and how to use this knowledge to improve your own code. Fact: If you make a habit of reading good code, you will write better code yourself.
上傳時(shí)間： 2017-08-13
上傳用戶：jyycc
This is the source code of a digital clock implemented using Atmel 8 bit AVR Controller(ATMega16). To fully understand it look at the hardware implementation shown in attached photo(pdf).
標(biāo)簽： implemented Controller digital ATMega
上傳時(shí)間： 2014-08-18
上傳用戶：moshushi0009
Implementation of GPU (Graphics Processing Unit) that rendered triangle based models. Our goal was to generate complex models with a movable camera. We wanted to be able to render complex images that consisted of hundreds to thousands of triangles. We wanted to apply interpolated shading on the objects, so that they appeared more smooth and realisitc, and to have a camera that orbitted around the object, which allowed us to look arond the object with a stationary light source. We chose to do this in hardware, because our initial implementation using running software on the NIOS II processor was too slow. Implementing parallelism in hardware is also easier to do than in software, which allows for more efficiency. We used Professor Land s floating point hardware, which allowed us to do calculations efficiency, which is essential to graphics.
標(biāo)簽： Implementation Processing Graphics rendered
上傳時(shí)間： 2014-11-22
上傳用戶：shawvi
It’s your first day in the lab.Undoubtedly you are experiencing a range of emotions: excitement, curiosity, anxiety. You will be working in this lab and with a group of people, as well as with your supervisor, for several years to come. This is the first day of a long commitment and, for some, a hard road ahead. Which is why it’s important to get off on the right foot.
標(biāo)簽： experiencing Undoubtedly excitement emotions
上傳時(shí)間： 2017-09-14
上傳用戶：zhangyi99104144
This tutorial will focus on the strong connection between C++ and SystemC by making the analogy between Hardware modeling and Object-Oriented modeling. The first section will look at the creation of Hardware components in C++. The second section will highlight the benefits of a SystemC implementation. Lastly, a worked example will allow you to gain experience with the steps involved in the creation, and simulation, of a SystemC design.
標(biāo)簽： systemc
上傳時(shí)間： 2015-06-25
上傳用戶：ycc‘eeworm
This introduction takes a visionary look at ideal cognitive radios (CRs) that inte- grate advanced software-defined radios (SDR) with CR techniques to arrive at radios that learn to help their user using computer vision, high-performance speech understanding, global positioning system (GPS) navigation, sophisticated adaptive networking, adaptive physical layer radio waveforms, and a wide range of machine learning processes.
標(biāo)簽： Technology Cognitive Radio
上傳時(shí)間： 2020-05-26
上傳用戶：shancjb
When digital media is perceived only as a tool to deliver content the potential for using its affordances to explore meaning is lost. Rather than seeing media only as an access point, we can view it as a way to enhance the expressiveness of content. Today blogs, wikis, messaging, mash-ups, and social media (Facebook, Twitter, YouTube and others) offer authors ways to create narrative meaning that refl ects our new media culture. We can look to the past for similarities and parallels to better understand how to use social media as a creative tool with which to dialogue, collaborate, and create interactive narratives.
標(biāo)簽： Interactivity Social Media in
上傳時(shí)間： 2020-05-27
上傳用戶：shancjb
I can remember buying my first electronic calculator. I was teaching a graduate level statistics course and I had to have a calculator with a square root function. Back in the late 1960s, that was a pretty high-end requirement for a calculator. I managed to purchase one at the “educational discount price” of $149.95! Now, I look down at my desk at an ATmega2560 that is half the size for less than a quarter of the cost and think of all the possibilities built into that piece of hardware. I am amazed by what has happened to everything from toasters to car engines. Who-da-thunk-it 40 years ago?
標(biāo)簽： Beginning Arduino for
上傳時(shí)間： 2020-06-09
上傳用戶：shancjb
It all started rather innocuously. I walked into Dr GT Murthy’s office one fine day, andchanged my life. “Doc” was then the General Manager, Central R&D, of a very largeelectrical company headquartered in Bombay. In his new state-of-the-art electronics center,he had hand-picked some of India’s best engineers (over a hundred already) ever assembledunder one roof. Luckily, he too was originally a Physicist, and that certainly helped me gainsome empathy. Nowadays he is in retirement, but I will always remember him as athoroughly fair, honest and facts-oriented person, who led by example. There were severalthings I absorbed from him that are very much part of my basic engineering persona today.You can certainly look upon this book as an extension of what Doc started many years agoin India … because that’s what it really is! I certainly wouldn’t be here today if I hadn’t metDoc. And in fact, several of the brash, high-flying managers I’ve met in recent years,desperately need some sort of crash course in technology and human values from Doc!
標(biāo)簽： 開關(guān)電源
上傳時(shí)間： 2021-11-23
上傳用戶：
這是我在做大學(xué)教授期間推薦給我學(xué)生的一本書，非常好，適合入門學(xué)習(xí)?！秔ython深度學(xué)習(xí)》由Keras之父、現(xiàn)任Google人工智能研究員的弗朗索瓦?肖萊（Franc?ois Chollet）執(zhí)筆，詳盡介紹了用Python和Keras進(jìn)行深度學(xué)習(xí)的探索實(shí)踐，包括計(jì)算機(jī)視覺、自然語(yǔ)言處理、產(chǎn)生式模型等應(yīng)用。書中包含30多個(gè)代碼示例，步驟講解詳細(xì)透徹。作者在github公布了代碼，代碼幾乎囊括了本書所有知識(shí)點(diǎn)。在學(xué)習(xí)完本書后，讀者將具備搭建自己的深度學(xué)習(xí)環(huán)境、建立圖像識(shí)別模型、生成圖像和文字等能力。但是有一個(gè)小小的遺憾：代碼的解釋和注釋是全英文的，即使英文水平較好的朋友看起來也很吃力。本人認(rèn)為，這本書和代碼是初學(xué)者入門深度學(xué)習(xí)及Keras最好的工具。作者在github公布了代碼，本人參照書本，對(duì)全部代碼做了中文解釋和注釋，并下載了代碼所需要的一些數(shù)據(jù)集（尤其是“貓狗大戰(zhàn)”數(shù)據(jù)集），并對(duì)其中一些圖像進(jìn)行了本地化，代碼全部測(cè)試通過。（請(qǐng)按照文件順序運(yùn)行，代碼前后有部分關(guān)聯(lián)）。以下代碼包含了全書約80%左右的知識(shí)點(diǎn)，代碼目錄：2.1: A first look at a neural network（ 初識(shí)神經(jīng)網(wǎng)絡(luò)）3.5: Classifying movie reviews（電影評(píng)論分類：二分類問題）3.6: Classifying newswires（新聞分類：多分類問題 ）3.7: Predicting house prices（預(yù)測(cè)房?jī)r(jià)：回歸問題）4.4: Underfitting and overfitting（ 過擬合與欠擬合）5.1: Introduction to convnets（卷積神經(jīng)網(wǎng)絡(luò)簡(jiǎn)介）5.2: Using convnets with small datasets（在小型數(shù)據(jù)集上從頭開始訓(xùn)練一個(gè)卷積網(wǎng)絡(luò)）5.3: Using a pre-trained convnet（使用預(yù)訓(xùn)練的卷積神經(jīng)網(wǎng)絡(luò)）5.4: Visualizing what convnets learn（卷積神經(jīng)網(wǎng)絡(luò)的可視化）
標(biāo)簽： python 深度學(xué)習(xí)
上傳時(shí)間： 2022-01-30
上傳用戶：
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