Tag: Deep Learning

Feed: BDN Daily Press Releases Discussions - Big Data News Author: Andrei Macsin NVIDIA today unveiled a comprehensive global program to support the innovation and growth of startups that are driving new breakthroughs in artificial intelligence and data science.The NVIDIA Inception Program provides unique tools, resources and opportunities to the waves of entrepreneurs starting new companies, so they can develop products and services with a first-mover advantage. "Startups worldwide are taking advantage of deep learning for its superhuman speed and accuracy in applications like radiology, fraud detection and self-driving cars," said Kimberly Powell, senior director of Industry Business Development at NVIDIA. "We're committed to helping ... Read More

Feed: Featured Blog Posts - Big Data News Author: Gabriel Lowy As we evolve toward a software-defined world, there’s a new user experience urgency emerging.  That’s because the definition of “user” is going to be vastly expanded.  In the Internet of Things (IoT) era, users include machines. Companies today are generating, collecting and analyzing more data than ever before.  They want to get better insights into their customers and their business operations.  This is driving substantial Investments in new architectures that extend to cloud and mobility.   They’re also yielding to user demands for more and newer sources of big ... Read More

Feed: Analytics Courses Discussions - AnalyticBridge Author: Vincent Granville Course material for 2014-1015.  Lectures Lecture 1: Introduction slides Video Lecture 2: Linear prediction slides Video Lecture 3: Maximum likelihood slides.pdf Video Lectures 4 & 5: Regularizers, basis functions and cross-validation slides.pdf Video 1 Video 2 Lecture 6: Optimisation slides.pdf Video Lecture 7: Logistic regression slides.pdf Video Lecture 8: Back-propagation and layer-wise design of neural nets slides.pdf Video Lecture 9: Neural networks and deep learning with Torch slides.pdf Video Lecture 10: Convolutional neural networks slides.pdf Video Lecture 11: Max-margin learning and siamese networks slides.pdf Video Lecture 12: Recurrent neural networks and LSTMs slides.pdf Video Lecture 13: Hand-writing with recurrent neural networks (Guest speaker: Alex Graves from Google Deepmind) Lecture 14: Variational autoencoders and image generation (Guest speaker: Karol Gregor from Google Deepmind) Lecture 15: Reinforcement learning with ... Read More

As a new lightweight and flexible deep learning platform, MXNet provides a portable backend, which can be called from R side. MXNetR is an R package that provide R users with fast GPU computation and state-of-art deep learning models. In this post, We have provided several high-level APIs for recurrent models with MXNetR. Recurrent neural network (RNN) is a class of artificial neural networks, which is very popular in the sequence labelling tasks, such as handwriting recognition, speech recognition. We will introduce our implementation of the recurrent models including RNN, LSTM and GRU. In addition, the examples such as char-rnn ... Read More

Last update: August 14, 2016 04:50 AM August 14, 2016 Glyph Lefkowitz What’s In A Name Amber’s excellent lightning talk on identity yesterday made me feel many feels, and reminded me of this excellent post by Patrick McKenzie about false assumptions regarding names. While that list is helpful, it’s very light on positively-framed advice, i.e. “you should” rather than “you shouldn’t”. So I feel like I want to give a little bit of specific, prescriptive advice to programmers who might need to deal with names. First and foremost: stop asking for unnecessary information. If I’m just authenticating to your system ... Read More

Worthy ReadGet in front of 4,000+ companies with one application. No more pushy recruiters, no more dead end applications and mismatched companies.SponsorsublimeWhen you ask for editor recommendations as a Python developer one of the top choices you’ll hear about is Sublime Text. In this post I’ll review the status of Python development with Sublime Text as of 2016. podcastThis week we interviewed Peter McCormick and Francis Deslauriers about their work organizing PyCon Canada to provide a venue for Canadians to talk about how they are using the language. If you happen to be near Toronto in November then you should ... Read More

Darron Birgenheier on Flickr (source: Camp NettieHAHA at the Event Horizon Trailer Park.). For more on this topic, Brian Kreeger and Roger Fried will be hosting a live webcast, Scalable Data Science with R, on August 16, 2016. R is among the top five data science tools in use today according O’Reilly research; the latest kdnuggets survey puts it in first, and IEEE Spectrum ranks it as the fifth most popular programming language. The latest Rexer Data Miner survey revealed that in the past eight years, there has been an three-fold increase in the number of respondents using R, and ... Read More

Warp speed. (source: Pixabay). Spark has emerged as the infrastructure of choice for developing in-memory distributed analytics workloads. It provides high-level abstractions in multiple languages (e.g., Java, Scala, and Python) that hide the underlying data and work distribution operations such as data transfer to and from the Hadoop Distributed File System (HDFS) or that maintain resiliency in the presence of system failures. Spark also provides libraries for relational Online Analytical Processing (OLAP) using SQL, machine learning, graph analytics, and streaming workloads. These features enable developers to build complex analytics workflows quickly to support different data sources in various operating environments ... Read More

Alphabet's DeepMind division reports they improved the overall power usage efficiency (PUE) of Google's data centers by 15 percent after placing an AI program similar to a program taught to play Atari games in charge of managing a data center's control systems. DeepMind and data center engineers report they've improved the cooling systems PUE consistently by up to 40 percent and that the program had achieved the lowest PUE the data center site had ever seen. Demis Hassabis noted that it was not only a cost savings, but also reduced the environmental impact of their data centers. Google reportedly used ... Read More

Facebook published an academic paper and blog detailing the Lua-based Torchnet, it's new open-source project centered around deep learning and built on the previously open-sourced Torch library. Laurens van der Maaten of the Facebook Artificial Intelligence Research laboratory (FAIR) noted in an interview that it can be applied to things like image recognition, natural language processing, and that its approach is similar to the Blocks and Fuel Python libraries for the Theano framework. He also noted: It makes it really easy to, for instance, completely hide the costs for I/O [input/output], which is something that a lot of people need ... Read More