anand kulkarni 🇺🇸

I founded Crowdbotics & LeadGenius. ML, social enterprise, crowd computing, polytopes, startups. Sometime Berkeley PhD + YC alum.

[anand kulkarni 🇺🇸 @polybot]

Tensorflow.js came out last week, which lets you run existing models and train new models directly in-browser. Expect to see a lot more impressive NN experiences cropping up on the web. https://t.co/aOsShFDk46

[anand kulkarni 🇺🇸 @polybot]

D3 version 5.0 is out, from @mbostock (and others). Still one of my favorite visualization frameworks and among the most popular at @Crowdbotics. https://t.co/HUlCr8X5pF

[anand kulkarni 🇺🇸 @polybot]

Had a great time speaking at @googleorg last night about @Crowdbotics and our work hiring + deploying top (female) software engineers from @Laboratoriala.

[LeadGenius @LeadGenius]

This past year, Nabila Hassan used her earnings as a LeadGenius researcher to build a borehole well in her home village of Bomani, #Kenya that provides more than 500 families with safe drinking water. https://t.co/z59iCwUSxM

[anand kulkarni 🇺🇸 @polybot]

Learned approaches for common datab structures outperform standard, non-ML ones. Neat and practical result. https://t.co/uyABJMM0pp

[Christopher Manning @chrmanning]

Machine Learning just ate Algorithms in one large bite, thx to @tim_kraska, @alexbeutel, @edchi, @JeffDean & Polyzotis at @Google—faster, smaller trees, hashes, bloom filters https://t.co/RiMVSBdHkO

[anand kulkarni 🇺🇸 @polybot]

In particular, this implies that for these applications, it's the structure of the neural network that's essential – not the training data. The solution is found by searching through the parameter space of the network, starting with a random point, not image space.

[anand kulkarni 🇺🇸 @polybot]

This deep learning result is phenomenal (and totally surprising). The authors show convolutional neural nets can achieve amazing visual results *without* training data: https://t.co/rZvXpbbtbC

[anand kulkarni 🇺🇸 @polybot]

Four questions to answer about marketplace startups: https://t.co/TC9P0tNb0Q

[anand kulkarni 🇺🇸 @polybot]

Tensorflow Lite is out. It can execute trained neural nets efficiently on mobile devices: https://t.co/sMu1aiPTYu

[anand kulkarni 🇺🇸 @polybot]

FB is estimated to have grown revenue 11% per week (close to YC's 10% recommendation) between its seed and Series A. Those round sizes & valuations look proportional to revenue growth. (source: https://t.co/9Ir2igh5xU)

[anand kulkarni 🇺🇸 @polybot]

Founders sometimes point to Facebook's early success and conclude they should ignore revenue. This is inaccurate. FB's revenues grew exponentially from year one: a $300K run rate in its first year/seed round, a $6M run rate at Series A, and a $52M run rate at Series B.

[anand kulkarni 🇺🇸 @polybot]

This software can read new deep-learning papers, analyze the figures, and then automatically attempt to build a neural net following the approach of the paper. Nice idea. Still rough, but could be a useful approach to a self-improving software system. https://t.co/qevTDB26Dc

[DeepLearning.Hub @DLdotHub]

DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers

https://t.co/5Nw5gFa8yz

[anand kulkarni 🇺🇸 @polybot]

Important explanation of how software 2.0, instantiated as deep neural nets, is fundamentally different from previous models of software development: https://t.co/JxRRmq7UHM

[anand kulkarni 🇺🇸 @polybot]

A nifty little Vue plugin from @fahrenq at @crowdbotics. https://t.co/UvSlOfyS0k

[MadeWithVueJS @MadeWithVueJS]

v-img allows you to show images in full-screen only by adding one directive to the <img> tag by @fahrenq 🙌 - https://t.co/rscWs7wDcz

[anand kulkarni 🇺🇸 @polybot]

Google's Tangent lets you differentiate functions written in Python, and gives you results in Python. Useful for those of us who spend a lot of time with NNs. https://t.co/WaILql7hfD

[anand kulkarni 🇺🇸 @polybot]

In Japan, the Family Romance corporation provides (for years) purported fathers, brides, even deceased relatives. https://t.co/w7RrbIvTGO

[anand kulkarni 🇺🇸 @polybot]

@fahrenq @_StartupTracker @ProductHunt I’m curious! Where do they get their source data? Is it simply aggregating Crunchbase and AngelList?

[anand kulkarni 🇺🇸 @polybot]

The NYT discusses efforts to teach ML systems to figure out parameters & topologies currently being tuned by hand by ML practicioners: https://t.co/9zan7gaeJB

[anand kulkarni 🇺🇸 @polybot]

Excellent article on of the state of the art in feature visualization.
https://t.co/VgLZhmD4Ac