BrianMingus | 8 years ago | on: Y Combinator applicant/candidate hilariously seeking CTO on Craigslist
10% is a pittance!
BrianMingus's comments
BrianMingus | 8 years ago | on: Nonlinear Computation in Deep Linear Networks
These findings seem to be at odds. The former says that deep linear nets are useful, non-linear and trainable with gradient descent. The latter says that the non-linearity only exists due to quirks in floating point and that evolutionary strategies must be use to find extremely small activations that can exploit the non-linearities in floating point.
Exact solutions to the nonlinear dynamics of learning in deep linear neural networks
https://arxiv.org/abs/1312.6120
"We attempt to bridge the gap between the theory and practice of deep learning by systematically analyzing learning dynamics for the restricted case of deep linear neural networks. Despite the linearity of their input-output map, such networks have nonlinear gradient descent dynamics on weights that change with the addition of each new hidden layer. We show that deep linear networks exhibit nonlinear learning phenomena similar to those seen in simulations of nonlinear networks, including long plateaus followed by rapid transitions to lower error solutions, and faster convergence from greedy unsupervised pretraining initial conditions than from random initial conditions."
Nonlinear Computation in Deep Linear Networks
https://blog.openai.com/nonlinear-computation-in-linear-netw...
"Neural networks consist of stacks of a linear layer followed by a nonlinearity like tanh or rectified linear unit. Without the nonlinearity, consecutive linear layers would be in theory mathematically equivalent to a single linear layer. So it’s a surprise that floating point arithmetic is nonlinear enough to yield trainable deep networks."
BrianMingus | 8 years ago | on: Deeplearning.ai: Announcing New Deep Learning Courses on Coursera
There are no costs.
BrianMingus | 8 years ago | on: Deeplearning.ai: Announcing New Deep Learning Courses on Coursera
Definitely, we help folks pick papers that are appropriate for their skill level.
BrianMingus | 8 years ago | on: Deeplearning.ai: Announcing New Deep Learning Courses on Coursera
Latently (SUS17) also provides a more self-directed path to learning deep learning focused exclusively on implementing research papers and conducting original research: https://github.com/Latently/DeepLearningCertificate
BrianMingus | 8 years ago | on: Ask HN: Who is hiring? (August 2017)
You can use the certificate to get a job. You can also print it. In both cases, yes, it is edible.
BrianMingus | 8 years ago | on: Ask HN: Who is hiring? (August 2017)
Our deep learning certificate is the product of years of hard work. It is a free service. The writing is quite clear (open to suggestion on that). Check it out.
BrianMingus | 8 years ago | on: Ask HN: Who is hiring? (August 2017)
This is an opportunity to write public domain deep learning code on world-class hardware in your spare time.
BrianMingus | 8 years ago | on: Comparison of Neural Network Simulators
It is used for that purpose as well.
BrianMingus | 8 years ago | on: Comparison of Neural Network Simulators
Author here. The list is outdated, but that timestamp doesn't reflect the last edit as the list is dynamically generated using Semantic Mediawiki.
Also - a lot of work went into this!
BrianMingus | 8 years ago | on: Deep Learning for Coders – Launching Deep Learning Part 2
We have a bibliography - it is not yet organized very well but we are working on that: https://paperpile.com/shared/UhfbVO
BrianMingus | 8 years ago | on: Deep Learning for Coders – Launching Deep Learning Part 2
Latently (SUS17) also provides a more self-directed path to learning deep learning focused exclusively on implementing research papers and conducting original research: https://github.com/Latently/DeepLearningCertificate
BrianMingus | 8 years ago | on: Show HN: AI Grant – Non-profit, distributed AI research lab
I have submitted it numerous times to no effect. This drove a bunch of traffic so seems to be the way to do it.
BrianMingus | 8 years ago | on: Psychology of Intelligence Analysis (1999)
This is from 1999. Meanwhile, IARPA now conducts studies where intelligence analysts look at various *INT layers of data stacked on top of eachother and cognitive modelers try to recreate the biases they demonstrate in the lab. See:
The Neural Basis of Decision-Making During Sensemaking: Implications for Human-System Interaction
https://www.researchgate.net/publication/278679336_The_Neura...
BrianMingus | 8 years ago | on: Show HN: AI Grant – Non-profit, distributed AI research lab
Someday perhaps YC's efforts at UBI will trickle down to HN, resulting in a fair platform that doesn't extremize inequality. In the meantime, us peons are left to hijack the threads of YC Partners.
BrianMingus | 8 years ago | on: Show HN: AI Grant – Non-profit, distributed AI research lab
See the Latently Deep Learning Certificate below. We let anyone who wants to try onboard.
BrianMingus | 8 years ago | on: Show HN: AI Grant – Non-profit, distributed AI research lab
More info:
Latently, Bitfusion, and IBM Cloud enable democratized access to deep learning
https://www.ibm.com/blogs/bluemix/2017/07/latently-bitfusion...
BrianMingus | 8 years ago | on: Show HN: AI Grant – Non-profit, distributed AI research lab
See also: Latently Deep Learning Certificate
https://github.com/Latently/DeepLearningCertificate
Free access to ridiculous amounts of hardware and the opportunity to implement important and hot scientific papers and conduct original research in deep learning.
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