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Lambda Labs – Deep Learning Machines

High-powered machines built specifically for Deep Learning applications. Pre-built and configured with Deep Learning software like Theano, Torch, and CUDA.

http://www.lambdal.com/

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Lambda Labs – Deep Learning Machines | lambdal.com Reviews
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High-powered machines built specifically for Deep Learning applications. Pre-built and configured with Deep Learning software like Theano, Torch, and CUDA.
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Lambda Labs – Deep Learning Machines | lambdal.com Reviews

https://lambdal.com

High-powered machines built specifically for Deep Learning applications. Pre-built and configured with Deep Learning software like Theano, Torch, and CUDA.

INTERNAL PAGES

lambdal.com lambdal.com
1

About - Lambda Labs

https://lambdal.com/about

Lambda Labs is a machine learning and artificial intelligence company that processes over a million images every month. Company History and Purpose. Lambda Labs was founded to help solve the difficult problem of teaching machines how to see and learn. Our hardware and software are built around our core competency in artificial intelligence and machine learning.

2

Press - Lambda Labs

https://lambdal.com/press

Here’s what the press is saying about Lambda Labs. Computer-vision-as-a-service. would allow developers to do things like automatically crop photos to avatar-sized images of just a user’s face. or detect whether or not a photo contained a specific object. Lambda’s Glass app and Lambda Hat make it possible to keep a log of every face the user has seen in images automatically captured every ten seconds. New York Times Magazine. Please direct all inquiries to press@lambdal.com. Download our Press Pack.

3

Machine Learning Contractors - Lambda Labs

https://lambdal.com/machine-learning-contractors

Learning features for facial recognition using a stacked denoising autoencoder. Need to solve a Machine Learning or Image Processing problem? You’re in good company. Here are some of our customers. Lambda Labs in the news:.

4

Face Recognition API - Lambda Labs

https://lambdal.com/face-recognition-api

Sign Up For Lambda API. To start using Lambda’s facial recognition and detection API. Input a URL and we’ll tell you if it contains any of these celebrities. Created with Raphaël 2.1.0. Use the form to the right to test out our face detection API. Send us a picture and we’ll tell you if it contains faces, where those faces are, and the location of facial features (eyes, nose, mouth). Created with Raphaël 2.1.0. Like what you see? Sign Up For Lambda API. Starting at just $9 / month.

5

Face Recognition API - Lambda Labs

https://lambdal.com/free-face-recognition-api.html

Sign Up For Lambda API. To start using Lambda’s facial recognition and detection API. Input a URL and we’ll tell you if it contains any of these celebrities. Created with Raphaël 2.1.0. Use the form to the right to test out our face detection API. Send us a picture and we’ll tell you if it contains faces, where those faces are, and the location of facial features (eyes, nose, mouth). Created with Raphaël 2.1.0. Like what you see? Sign Up For Lambda API. Starting at just $9 / month.

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facedetection.com facedetection.com

Face Detection Software Facial Recognition Source Code API SDK

https://facedetection.com/software

Face Detection and Recognition Homepage Resources for facial detection and recognition. Face Detection & Recognition Software (Free open source – Commercial). Face Detection & Recognition Software (Free open source – Commercial). So you are looking for face detection software. You hit the right place! There are basically two approaches. The classical one is to get some code (source or compiled as a library) and use it within your own application. WEB SERVICES for Face Detection & Recognition. Service for...

stephenbalaban.com stephenbalaban.com

Caching with NSCache, or, The most underrated Objective-C Class | stephen balaban 白德文

http://www.stephenbalaban.com/caching-with-nscache-the-most-underrated-objective-c-class

Stephen balaban 白德文. Caching with NSCache, or, The most underrated Objective-C Class. 8220;There are only two hard things in Computer Science: cache invalidation and naming things.” Phil Karlton. There are four things you need to know about NSCache. The first, and most important: NSCache exists. I recently wrote a cache object in Objective-C, this was a mistake. I Google’d “objective-c cache class”:. Unhelpful Google results for “objective-c cache class”. Sources and Further Reading:. Who deserves a Wiki...

aitzibermarcos.blogspot.com aitzibermarcos.blogspot.com

Blog de Aitziber Marcos: Google Glass

http://aitzibermarcos.blogspot.com/2013/05/google-glass.html

Blog de Aitziber Marcos. Viernes, 31 de mayo de 2013. Se trata de un programa de investigación y desarrollo de la empresa Google. Para desarrollar unas gafas de realidad aumentada. Estas gafas estarán disponible para los desarrolladores de Google en este año, mientras que para los consumidores estará lista en 2014. El sistema operativo que usará sera Android. El proyecto de Google Glass. Fue anunciado en Google. Por Babak Parviz,. El manager del proyecto y Sebastian Thrun,. Que es la que va a desarrollar...

hatfone.com hatfone.com

How it Works - hatfone

http://www.hatfone.com/How-it-works

Hatfone is designed to use head just like a joystick. To control the operating environment and various application interfaces. It also use a advanced screen readable voice. Interface to perform general tasks like share, save, etc. For instance to control the pointer or cursor on projection user would have to Look. Slide Right or Pan Right. Slide Left or Pan Left. Slide out System tray. Slide in or up System tray. Https:/ support.google.com/websearch/answer/2842392? Ref: Object and facial reco.

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Lambda Labs – Deep Learning Machines

Enterprise workstations and servers built for. The fastest way to train neural networks in 2018. Why use specialized hardware? Faster hardware tightens the feedback loop on your choice of network architecture, loss function, and other hyperparameters. Investing in proper hardware saves you hundreds of hours when training models. Faster hardware gets you to market quicker. The impact is significant. In 2017, Facebook reduced their training duration from 29 hours to 1 hour with a hardware upgrade. QUAD is ...

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