putnam

14 ms·

151.
Using Tensorflow and AI as a Web Development Consultancy(label305.com)
3 points by putnam 9y ago|0 comments
152.
A Practical Explanation of a Naive Bayes Classifier(monkeylearn.com)
1 points by putnam 9y ago|0 comments
153.
YOLO: Core ML versus MPSNNGraph(machinethink.net)
1 points by putnam 9y ago|0 comments
154.
Coherent Online Video Style Transfer(arxiv.org)
1 points by putnam 9y ago|0 comments
155.
Developing a Prisma-Like iOS App with Offline Art Filters(jeffxtang.github.io)
1 points by putnam 9y ago|0 comments
156.
What Kind of Dog Is It – Using TensorFlow on Mobile Device (2016)(jeffxtang.github.io)
66 points by putnam 9y ago|22 comments
157.
Industry-specific deep learning interviews and walkthroughs(enterprisedeeplearning.github.io)
1 points by putnam 9y ago|0 comments
158.
by putnam 9y ago
Coming from a signal processing background, this is interesting. Would your company be interested in doing a newsletter with https://enterprisedeeplearning.github.io ? Edit: softened the sales pitch
159.
by putnam 9y ago
Do you think the management who made this decision would pay for this service in an industry-specific but company non-specific form on a subscription basis?
160.
by putnam 9y ago
To the now 9 people who said they want this and the rest like me who didn't enter your information - do you want industry-specific (but of course company-agnostic) code examples or are you amply satisfied with audio walkthroughs, as in
161.
by putnam 9y ago
So, there's a lot of material out there but it's disjointed. If you get annoyed implementing your own neural net with only Python + Numpy, you might try some more complex examples just to immediately point at them and say "I
162.
The Terrible Deep Learning List(github.com)
4 points by putnam 9y ago|0 comments
163.
by putnam 9y ago
Thank you
164.
Deep Learning Models That Just Work(github.com)
1 points by putnam 9y ago|0 comments
165.
Awe-Inspiring Deep Learning Demos(medium.com)
2 points by putnam 9y ago|0 comments
166.
by putnam 9y ago
Yes
167.
by putnam 9y ago
So Accenture does due diligence on the expected ROI from the product? What if you're offering a SaaS product that no one there (but everyone on HN) gets - Is it possible to be both Accenture (review and craft a deal and explain the ben
168.
Selling to the Fortune 500, Government, and Other Lovecraftian Horrors (2013)(training.kalzumeus.com)
111 points by putnam 9y ago|24 comments
169.
by putnam 9y ago
Thanks for asking. Would like this too.
170.
PhotoScan: Taking Glare-Free Pictures of Pictures(research.googleblog.com)
4 points by putnam 9y ago|0 comments
171.
Introducing the GGT-NN(hexahedria.com)
2 points by putnam 9y ago|0 comments
172.
A tale of two environments(experimentalprogramming.wordpress.com)
3 points by putnam 9y ago|0 comments
173.
Test Automation for Machine Learning: An Experience Report(angiejones.tech)
2 points by putnam 9y ago|0 comments
174.
Gappaticaltirement(rdchambers.net)
1 points by putnam 9y ago|0 comments
175.
Using Fast Weights to Attend to the Recent Past(arxiv.org)
2 points by putnam 9y ago|0 comments
176.
Working from Away(experimentalprogramming.wordpress.com)
1 points by putnam 9y ago|0 comments
177.
Fast Artistic Videos(zeruniverse.github.io)
2 points by putnam 9y ago|0 comments
178.
by putnam 9y ago
I think computing optical flow remains a major time bottleneck. Any attempt at temporal coherence would be great, and I'm sure there is some attempt on Messenger, but it really only works well for the last style transfer filter, all th
179.
TensorFlow for Mobile Poets(petewarden.com)
2 points by putnam 9y ago|0 comments
180.
Using TensorFlow Models from the JVM Using TensorFlow Serving(fdahms.com)
2 points by putnam 9y ago|0 comments

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