Monday, April 23, 2018

Digest for comp.programming.threads@googlegroups.com - 2 updates in 2 topics

Sky89 <Sky89@sky68.com>: Apr 22 10:39PM -0400

Hello,
 
Read this:
 
 
A path to unsupervised learning through adversarial networks
 
Adversarial networks provide a strong algorithmic framework for building
unsupervised learning models that incorporate properties such as common
sense, and we believe that continuing to explore and push in this
direction gives us a reasonable chance of succeeding in our quest to
build smarter AI.
 
However, generative adversarial networks (GANs) were previously thought
to be unstable. Sometimes the generator never started learning or
producing what we would perceive to be good generations. At Facebook AI
Research (FAIR), we've published a set of papers on stabilizing
adversarial networks in collaboration with our partners, starting with
image generators using Laplacian Adversarial Networks (LAPGAN) and Deep
Convolutional Generative Adversarial Networks (DCGAN), and continuing
into the more complex endeavor of video generation using Adversarial
Gradient Difference Loss Predictors (AGDL). Regardless of what kinds of
images or videos we gave to these systems, they would start learning and
predict plausible scenarios of the world.
 
 
Read more here:
 
https://code.facebook.com/posts/1587249151575490/a-path-to-unsupervised-learning-through-adversarial-networks/
 
 
 
Thank you,
Amine Moulay Ramdane.
Sky89 <Sky89@sky68.com>: Apr 22 09:53PM -0400

Hello,
 
Read this:
 
 
"Predictive Learning" is the New Buzzword in Deep Learning
 
Read more here:
 
https://medium.com/intuitionmachine/predictive-learning-is-the-key-to-deep-learning-acceleration-93e063195fd0
 
 
Thank you,
Amine Moulay Ramdane.
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