Note: For the next few months, this meetup will be across the street from the usual location.
September 24, 2015 Meeting
Topic: Scalable Machine Learning using Spark and Python
Speaker: Saket Bhushan
Deep architecture helps in the representation of high-level
abstractions as in vision, language, speech and other AI-level tasks. A
deep architecture is composed of multiple levels of non-linear
operations. Learning algorithms like Deep Belief Networks have recently
been proposed to tackle these problems with a notable success.
A couple of years ago, The New York Times wrote a story about Google
using a network of 16,000 computers to teach itself to identify images
of cats. That is a difficult task for computers, and it was an
Adam, an initiative by Microsoft researchers and engineers, aims to
demonstrate that large-scale, commodity distributed systems can train
huge deep neural networks effectively. For proof, the researchers
created the world’s best photograph classifier, using 14 million images
from ImageNet, an image database divided into 22,000 categories.
Adam is 50 times faster—and more than twice as accurate, as outlined in
a paper currently under academic review. In addition, it is efficient,
using 30 times fewer machines, and scalable, areas in which the Google
effort fell short.
team at Google lead by Jeffrey Dean came up with the first
implementation of distributed deep learning . Architecturally, it was
a pseudo-central realization, with a centralized parameter server being
a single source of parameter values across the distributed system.
talk demonstrates an end to end design (architecture, implementation and
deployment) of Downpour-like stochastic gradient descent using Apache
Spark. Spark is the next generation cluster computing framework from the
UC Berkeley and Databricks teams.
Building High-level Features Using Large Scale Unsupervised Learning.
Quoc V. Le,Marc'Aurelio Ranzato, Stanford & Google Inc.
 Large Scale Distributed Deep Networks. Jeffrey Dean, Google Inc.
Saket Bhushan is the founder of Sosio, a data platform primarily for
non-profits. In his previous life he spent considerable time in
optimizing computational mechanics algorithms.
7:00pm Networking and Dinner (provided by LinkedIn)
9:00pm Event ends
2061 Stierlin Court
Mountain View, CA 94043
Meeting Room: Louboutin (formerly Neon Carrot)
If you wish to post jobs here, please go to : Job Listings
Special note to presenters using a Mac:
If you will be giving a presentation using a Mac, please bring your own Mac to VGA adapter. LinkedIn does not provide these and this is the one accessory which Mac users sometimes forget to bring.