zackchase

8 ms·

31.
A Critical Review of Recurrent Neural Networks for Sequence Learning(arxiv.org)
1 points by zackchase 11y ago|0 comments
32.
What is a ``data scientist“?(kdnuggets.com)
1 points by zackchase 11y ago|0 comments
33.
by zackchase 11y ago
I don't know anyone in computer science that writes academic documents in Microsoft Word. The standard is LaTeX. It seems the author may be well behind. All markup (in any markup language) is simply text (as opposed to WSIWYG), which i
34.
by zackchase 12y ago
This post scares me in the way that most bitcoin journalism does. There is no shortage of press talking about the start ups themselves (as opposed to the state of the capital markets). For many people, the state of the markets really does m
35.
(Deep Learning's Deep Flaws)'s Deep Flaws(kdnuggets.com)
9 points by zackchase 12y ago|0 comments
36.
IBM Watson Analytics vs. Microsoft Azure ML(kdnuggets.com)
1 points by zackchase 12y ago|0 comments
37.
by zackchase 12y ago
Broadly speaking, I think there is a fundamental misunderstanding in much of this thread of what "critical thinking" means.
38.
by zackchase 12y ago
On the topic of negative comments, this article prompts me to leave what the author assuredly would consider one. Frankly, if our society fails in education it's that students make it through without acquiring critical thinking skills.
39.
by zackchase 12y ago
I think the intuition behind max-pooling is that it says "something is in this local region", without overly specifically saying where it is. Intuitively, a human may detects an edge or intense bright light, but not care so much a
40.
Geoff Hinton AMA – Deep Learning's Biological Inspiration(reddit.com)
55 points by zackchase 12y ago|7 comments
41.
by zackchase 12y ago
These arguments were introduced by Szegedy et. al. earlier this year in this paper: http://cs.nyu.edu/~zaremba/docs/understanding.pdf . Geoff Hinton addressed this matter in his Reddit AMA last month. The results a
42.
by zackchase 12y ago
I took a stab at trying to interpret the topics output by this run of LDA. Green is one the clearest: generally convolutional deep nets, image classification, empirical work. Brown seems to have picked up on linear algebra. "Vector&quo