Sentiment Analysis
This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets. We provide a set of 25,000 highly polar movie reviews for training, and 25,000 for testing. There is additional unlabeled data for use as well. Raw text and already processed bag of words formats are provided. See the README file contained in the release for more details. Larg
YOLO: Real-Time Object Detection
How It Works Prior detection systems repurpose classifiers or localizers to perform detection. They apply the model to an image at multiple locations and scales. High scoring regions of the image are considered detections. We use a totally different approach. We apply a single neural network to the full image. This network divides the image into regions and predicts bounding boxes and probabilitie
Hidetoshi Nishimori: "Theory of Quantum Annealing"
Hidetoshi Nishimori visited Google LA on March 28, 2014 to give a talk: "Theory of Quantum Annealing" Abstract: Quantum annealing is a generic framework, metaheuristic, for combinatorial optimization. I will first review the basic formulation of quantum annealing and numerical evidence for its performance, particularly in comparison with classical simulated annealing. I will then explain a few
Neural Network Console：ツールで体験する、新しいディープラーニング
学習・評価だけでなく、ニューラルネットワークの設計までも可能なディープラーニングツールです。 グラフィカルなユーザーインターフェイス(GUI)による直感的な操作で、ディープラーニングをはじめましょう。 詳しくは下記サイトをご覧ください。 アプリケーションのダウンロードも下記サイトより行うことができます。 https://dl.sony.com/ja/ より詳しいNeural Network Consoleの特長はこちら Deep Learningの統合開発環境 Neural Network Consoleの特長 (2019/02) https://youtu.be/y_KGyxAwAic Deep Learningを基礎から学びたい方はこちら 再生リスト「Deep Learning入門」 https://www.youtube.com/playlist?list=PLg1wtJlhf
機械学習を英語ビデオで学ぶサイトまとめ - Qiita
機械学習、盛り上がってますね。いつの日かクイックソートのようにロジックを知らなくても無意識に使える日が来るのでしょうか？ とにかくエンジニアにも数学と英語が必須な時代になりましたね。。。 グーグルのMartin Görner博士の３時間近いロングなビデオです。 MNISTをメインに、クロスエントロピー、Softmax、バックプロパゲーション、CNN、RNNと幅広く説明しています。 インド人？ぽい発音ですが、逆に聞き取りやすいです。 https://www.youtube.com/watch?v=vq2nnJ4g6N0&t=5265s&list=PL635lD4BqMFwg9TRzQPWGRrAOQBd41ISK&index=4 スタンフォードのフェイフェイ リー博士、今はグーグルAIのチーフサイエンティストです。 有名なスタンフォードの講義CS231nと呼ばれるものです。ゼロから作るの斎藤
Deep Learning and the Analysis of Satellite Imagery
Boris Babenko of Orbital Insight talks about Deep Learning and the Analysis of Satellite Imagery. Orbital Insight is a Geospatial Big Data company leveraging the rapidly growing availability of satellite, UAV, and other geospatial data sources, to understand and characterize socio-economic trends at global, regional, and hyper-local scales. In this talk Boris discusses the satellite imagery dom
Google Ads, Analytics and DoubleClick Announcements Keynote
Google AdWords is now Google Ads. Click here to learn more about our new advertising brand: blog.google/technology/ads/new-advertising-brands/ Watch this video to learn about Google’s latest Ads, Analytics and DoubleClick innovations—powered by our machine learning technology. You’ll hear about products designed to improve how brands reach consumers, simplify campaign measurement and increase yo
VNect: Real-time 3D Human Pose Estimation with a Single RGB Camera - SIGGRAPH2017
We are looking for PhD students and postdocs. Check: http://gvv.mpi-inf.mpg.de/GVV_Offers.html We present the first real-time method to capture the full global 3D skeletal pose of a human in a stable, temporally consistent manner using a single RGB camera. Our method combines a new convolutional neural network (CNN) based pose regressor with kinematic skeleton fitting. Our novel fully-convolutio
Tensorflow and deep learning - without a PhD by Martin Görner
Please subscribe to our YouTube channel @ https://bit.ly/devoxx-youtube Like us on Facebook @ https://www.facebook.com/devoxxcom Follow us on Twitter @ https://twitter.com/devoxx Google has recently open-sourced its framework for machine learning and neural networks called Tensorflow. With this new tool, deep machine learning transitions from an area of research into mainstream software enginee
Foundations of Unsupervised Deep Learning (Ruslan Salakhutdinov, CMU)
The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that's useful for people who want to watch specific talks several times (like I do). Please check out the official website (http://www.bayareadlschool.org) and full live streams below. Having read, watched, and presented d
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実践Deep Learning：Deep Learningで行う予測
Getting started with Firebase Analytics, BigQuery - Firecasts
Charts with Chart.js Part 1 - ElixirCasts
AI（Deep Learning）を使用した異常検知システムのデモ
Arafat Khan- Introducing Tensorflow Ruby API @EuRuKo2017
物理学者が量子コンピュータを？ | Hidetoshi Nishimori | TEDxTitech
Lecture Collection | Natural Language Processing with Deep Learning (Winter 2017)
TechCrunch
Video AI and intelligence | Google Cloud
Google、動画のシーンや被写体をTensorFlowベースの機械学習で自動抽出するAPI 
