rasmi

9 ms·

61.
by rasmi 9y ago
Earlier discussion here: https://news.ycombinator.com/item?id=16619917
62.
by rasmi 9y ago
Previous discussion: https://news.ycombinator.com/item?id=13414776
63.
Rules of Machine Learning: Best Practices for ML Engineering(developers.google.com)
3 points by rasmi 9y ago|1 comments
64.
Inside Facebook's Two Years of Hell(wired.com)
2 points by rasmi 9y ago|0 comments
65.
by rasmi 9y ago
That's a fair point. There are certainly technical challenges involved in bringing this to other domains.
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Seattle 3 Year Time-Lapse Video from the Space Needle(hackernoon.com)
1 points by rasmi 9y ago|0 comments
67.
by rasmi 9y ago
I didn't downvote you, but I think the comparison to Sagemaker misses the point. This is literally just uploading labeled data and getting a finely tuned classifier out. Hyperparameter tuning is neat, and both Cloud ML Engine and Sagem
68.
by rasmi 9y ago
Compared to ML Engine, where you provide the labeled data and model code, with AutoML, you just provide the labeled data (with your custom labels for whichever domain you may be working in) and AutoML builds the model for you.
69.
by rasmi 9y ago
"Soon, Cloud AutoML will release other services for all other major fields of AI." It's a start! https://cloud.google.com/automl/
70.
by rasmi 9y ago
Disclaimer: I do ML-based work in Google Cloud, but I am not on the AutoML team. The post says there is transfer learning involved, which means in practice you need much less data than you would if creating a classifier from scratch. Of cou
71.
by rasmi 9y ago
Take a look at TFGAN -- it might make these implementations much easier! https://research.googleblog.com/2017/12/tfgan-lightweight-li... https://github.com/tensorflow/tensorflow/tree&#x2F
72.
by rasmi 9y ago
I see what you mean. To some companies, ML Engine's cost as a managed service may be worth it. To others, spinning up a VM with TensorFlow Serving on it is worth the cost savings. If you've taken other approaches to serving Tensor
73.
by rasmi 9y ago
You can deploy TensorFlow model binaries as serverless APIs on Google Cloud ML Engine [1]. But I would also be interested in seeing a TensorFlow Lite implementation. [1] https://cloud.google.com/ml-engine/docs/depl
74.
by rasmi 9y ago
TensorFlow is introducing eager evaluation: https://github.com/tensorflow/tensorflow/tree/master/tensorf... https://twitter.com/oshtim/status/879453382326353920
75.
by rasmi 9y ago
Disclosure: I work for Google. Google Cloud does this with Dataflow and ML Engine in a fairly simple way, and the internals are open sourced as Apache Beam and TensorFlow so you can migrate to other platforms if you want.
76.
by rasmi 9y ago
I purchased this book on sale at the Kindle store to get a detailed sense of what his methodology was, and it seems he just uses Google Trends to compare search volumes across locations combined with Google AdWords to give the data a numeri
77.
by rasmi 9y ago
It's also a bit risky, as some University administrators may not understand that he isn't actually being malicious. Automated scraping can be considered a violation of some IT policies though, so OP should be careful about somethi
78.
What are machine learning engineers?(oreilly.com)
1 points by rasmi 9y ago|0 comments
79.
by rasmi 9y ago
Something similar has happened with Transmission's download DMGs being replaced on their servers [1] (twice! [2]) in recent memory. [1] https://news.ycombinator.com/item?id=11234589 [2] https://news.ycombina
80.
by rasmi 9y ago
If anyone is interested in learning this content through an in-depth video tutorial, I highly recommend Dan Abramov's two-hour "Getting Started with Redux" [1] and the excellent follow-up "Building React Applications wi
81.
Cellphone Spy Tools Have Flooded Local Police Departments(citylab.com)
246 points by rasmi 10y ago|86 comments
82.
The Race to Pass Obama’s Last Law and Save Tech in DC(wired.com)
1 points by rasmi 10y ago|0 comments
83.
by rasmi 10y ago
The job description above is for internal user-facing tools. Mission-critical systems are done in C++.[1] [1] https://www.reddit.com/r/IAmA/comments/1853ap/slug/c8bpr00
84.
by rasmi 10y ago
This toolbox allows you to visualize what neural networks "see" at each layer, and what image patterns activate what sorts of neurons (and how). For example, in this video [1] you can see neurons that detect edges, faces, and text
85.
Understanding Neural Networks Through Deep Visualization(yosinski.com)
2 points by rasmi 10y ago|1 comments
86.
by rasmi 10y ago
This is one of the most concise and accessible explanations of fine-tuning CNNs that I've come across. I hope someone finds it as helpful as I did.
87.
Transfer Learning and Fine-Tuning Deep Convolutional Neural Networks(blog.revolutionanalytics.com)
88 points by rasmi 10y ago|4 comments
88.
by rasmi 10y ago
Probably rainbow tables: https://en.wikipedia.org/wiki/Rainbow_table
89.
by rasmi 10y ago
It is possible to correct for all sorts of different lighting conditions. See here: http://grail.cs.washington.edu/projects/timelapse/
90.
by rasmi 10y ago
You would need a significant number of images for a particular scene (more than Google Street View would provide -- maybe in the tens or hundreds depending on the complexity -- but perhaps mining Google Maps photo uploads for a particular l

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