投稿時間:2021-12-28 07:15:41 RSSフィード2021-12-28 07:00 分まとめ(18件)

カテゴリー等	サイト名等	記事タイトル・トレンドワード等	リンクURL	頻出ワード・要約等/検索ボリューム	登録日
IT	SNSマーケティングの情報ならソーシャルメディアラボ【Gaiax】	【2021年版】SNS主要アップデート情報を総ざらい！ 年末年始の総復習に	https://gaiax-socialmedialab.jp/post-118432/	年末年始	2021-12-27 21:05:03
Google	カグア！Google Analytics 活用塾:事例や使い方	TikTokでコインチャージの方法～アプリとブラウザでは値段が変わります。	https://www.kagua.biz/social/tiktok/20211228a1.html	tiktok	2021-12-27 21:00:32
python	Pythonタグが付けられた新着投稿 - Qiita	Failed to create schema directory 'test_table' (errno: 2 - No such file or directory)の解決法	https://qiita.com/yutoun/items/dcc32ae2592ffaceb276	FailedtocreateschemadirectoryxtesttablexerrnoNosuchfileordirectoryの解決法目的mysqlgtcreatedatabasedatabasenameでデータベースを作成しようとしたところ、FailedtocreateschemadirectorytesttableerrnoNosuchfileordirectoryと表示されてしまったため、その解決法をまとめようと思う。	2021-12-28 06:57:05
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	都道府県と市町村の連動するプルダウンを更新(Update)させたい。	https://teratail.com/questions/375809?rss=all	都道府県と市町村の連動するプルダウンを更新Updateさせたい。	2021-12-28 06:38:33
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	正規表現について教えて下さい	https://teratail.com/questions/375808?rss=all	aaaquotcabquot	2021-12-28 06:28:54
海外TECH	MakeUseOf	Windows Troubleshooting Couldn’t Identify the Problem... So Now What?	https://www.makeuseof.com/windows-troubleshooting-couldnt-identify-problem/	Windows Troubleshooting Couldn t Identify the Problem So Now What Sometimes the Windows troubleshooter doesn t manage to shoot any of your troubles Fortunately you can take the matter into your own hands	2021-12-27 21:15:12
海外TECH	DEV Community	Deep Learning Library From Scratch 1: Feedforward networks	https://dev.to/ashwinscode/deep-learning-library-from-scratch-1-feedforward-networks-2485	Deep Learning Library From Scratch Feedforward networksHello Welcome to this first post in a series where we try to build our own deep learning library in Python In this post we will go begin to write a simple feedforward neural network We will only work on the forward pass in this post and we will work on training our network in the next post This post will cover how basic feedforward neural networks take in a input and produce an output from it Firstly what is a neural network Neural networks are a machine learning technique which is loosely inspired by the model of the brain As with all machine learning techniques it learns from a dataset which contains inputs and their corresponding outputs Neural networks consist of layers Each layer is connected to the next layer with weights and biases These weights and biases are used by the network to calculate the output it will give They are adjusted when the network trains so that the network produces the optimal output based on the data it trained on This diagram shows a layer neural network The lines connecting the nodes are used to represent the weights and biases of the network How do they work the maths Each layer has its own weights and bias The weights and biases initially start as a matrix of random values A basic feedforward neural network consists of only linear layers Linear layers produce their output with the following formulax w bWhere x is the input to the layerw is the weights of the layerb is the bias of the layer means matrix multiply NoteIf you are unaware of how matrix multiplication works this website here explains it nicely This is all we will cover for now next post we will get into the mathematics behind how these weights and biases get corrected in training Activation functionsLayers of neural nets are composed of nodes Activation functions are applied to layers to determine which nodes should fire activate This firing is observed in the human brain too hence why it was introduced in neural networks since they are loosely based of the model of the brain Activation functions also allows the network to model non linear data Without activation functions the neural network would just be a linear regression model meaning it would not be able to model most real world data There are multiple activation functions but here are the most common ones used SigmoidThe sigmoid function maps inputs to a value between and as shown in the graph below x is the input vector Relu Rectified Linear The Relu function only allows positive values of the input vector to pass through Negative values are mapped to For example gt relu gt TanhTanh is similar to Sigmoid except it maps inputs to values between and SoftmaxSoftmax takes in an input and maps it out as a probability distribution meaning all the values in the output sum to z is the input vector K is the length of the input vector Writing the codeWe will need numpy for our matrix operations import numpy as npFirst let s write our linear layer classclass Linear def init self units self units units self w False self b False def call self x initialise weights and biases if the linear layer is being called for the first time weights and biases must be initialised with a matrix shape that is with compatible the operations it s involved in with the input matrix if not self w self w np random randn self input shape self units if not self b self b np random randn self units formula for calculating linear layer output return self input self w self bExample usage x np array layer Linear print layer x gt Now let s write all our activation function classes following the formulae given previouslyclass Sigmoid def call self x return np exp x class Relu def call self x return np maximum x class Softmax def call self x return np exp x np sum np exp x class Tanh def call self x return np tanh x Now let s write a Model class which will act as a container for all our layers the actual neural network class class Model def init self layers self layers layers def call self x output x for layer in self layers output layer x return outputSave all of those classes into layer py or any name you wish Now we can build a simple neural network with our tiny library so farimport layersimport numpy as np inputs arrayx np array network uses all the layers we have designed so farnet layers Model layers Linear layers Sigmoid layers Linear layers Softmax layers Linear layers Tanh layers Linear layers Relu print net x	2021-12-27 21:03:55
海外TECH	Engadget	Verizon partners with AR hardware maker Vuzix for some reason	https://www.engadget.com/verizon-vuzix-ar-partnership-211550397.html?src=rss	Verizon partners with AR hardware maker Vuzix for some reasonIt s been a few years since we ve heard from AR company Vuzix In early it came out with its first pair of consumer ready smart glasses After staying relatively quiet over the past two years it s now partnering with Verizon The two didn t share many details about their collaboration What they did say is that they plan to find ways to commercialize AR technology for use in sports and gaming scenarios especially those involving the need for training The partnership will combine Vuzix s new Shield smart glasses and the capabilities of Verizon s G network It s hard to say if we ll see anything impactful come out of this agreement but it s not a surprise to see Verizon become more involved in AR technology Augmented virtual and mixed reality wearables have been consistently positioned as one of the primary beneficiaries of the speed and latency enhancements promised by G networks Likewise the focus on gaming and sports isn t surprising either Some of the earliest locations where Verizon had G service was in NFL stadiums They re one of few places where the carrier s mmWave deployments shine since there s enough density there to justify building out all the small cells required to blanket even a small area with ultrafast G coverage	2021-12-27 21:15:50
海外科学	NYT > Science	E.O. Wilson, a Pioneer of Evolutionary Biology, Dies at 92	https://www.nytimes.com/2021/12/27/science/eo-wilson-dead.html	E O Wilson a Pioneer of Evolutionary Biology Dies at A Harvard professor for years he was an expert on insects and explored how natural selection and other forces could influence animal behavior He then applied his research to humans	2021-12-27 21:38:22
海外TECH	WIRED	The Best After-Christmas Sales to Burn That Holiday Cash	https://www.wired.com/story/best-after-christmas-sales-and-deals-2021	discounts	2021-12-27 21:37:00
ニュース	BBC News - Home	No new Covid rules in England before new year - Javid	https://www.bbc.co.uk/news/uk-59804686?at_medium=RSS&at_campaign=KARANGA	christmas	2021-12-27 21:19:39
ニュース	BBC News - Home	England and Australia return negative Covid tests before start of third day in Melbourne	https://www.bbc.co.uk/sport/cricket/59770507?at_medium=RSS&at_campaign=KARANGA	England and Australia return negative Covid tests before start of third day in MelbournePlayers from both England and Australia return negative Covid PCR tests before the start of the third day of the third Ashes Test	2021-12-27 21:07:33
ビジネス	ダイヤモンド・オンライン - 新着記事	米ウォルマートも中国で批判の的に、新疆問題巡り - WSJ発	https://diamond.jp/articles/-/292129	新疆	2021-12-28 06:15:00
北海道	北海道新聞	三浦綾子の作品、データ化　読みやすく印刷、寄贈も	https://www.hokkaido-np.co.jp/article/628208/	三浦綾子	2021-12-28 06:13:00
北海道	北海道新聞	「龍虎」屏風を特別公開　京都御所、干支にちなみ	https://www.hokkaido-np.co.jp/article/628209/	京都御所	2021-12-28 06:13:00
北海道	北海道新聞	仏、接種実質義務化を決定　ワクチン、法案１月施行へ	https://www.hokkaido-np.co.jp/article/628205/	新型コロナウイルス	2021-12-28 06:02:59
ビジネス	東洋経済オンライン	｢子どもは静かに溺れる｣本当に怖い家庭内事故 7割の人がヒヤッと､子どもの事故を防ぐには？ | 街･住まい | 東洋経済オンライン	https://toyokeizai.net/articles/-/478682?utm_source=rss&utm_medium=http&utm_campaign=link_back	年末年始	2021-12-28 06:30:00
IT	IT号外	Windows11への移行と普及が進まない4つの理由	https://figreen.org/it/windows11%e3%81%b8%e3%81%ae%e7%a7%bb%e8%a1%8c%e3%81%a8%e6%99%ae%e5%8f%8a%e3%81%8c%e9%80%b2%e3%81%be%e3%81%aa%e3%81%844%e3%81%a4%e3%81%ae%e7%90%86%e7%94%b1/	Windowsへの移行と普及が進まないつの理由Windowsが二ヶ月前に公開されて徐々にWindows関連のニュースを見るようになったので、このOSに対する自分の感想的なものを書こうかなという気になりました。	2021-12-27 21:42:38