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Arnaud Miribel
data scientist , previously , deep learning instructor , alum
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Akiyoshi Kitaoka 4. velj
Differences in perceived speed
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elvis 2. velj
📰 NLP Newsletter #3: Flax, Thinc, Language-specific BERT models, Meena, Flyte, LaserTagger,…📰 featuring: , , , , , , , ,. GitHub: Medium:
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Maths Ed 30. sij
02/02/2020 is the only date in our lifetimes — and the 1st since 11/11/1111 — to be palindromic across the World, in whatever date format you choose.
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Alfredo Canziani 31. sij
On Tuesday, in my class, we have learnt that all a neural net does is stretching / contracting the space fabric. For example this 3-layer net (1 hidden layer of 100 positive neurons) gets its 5D logits (2D projections) linearly separable by the classifier hyperplanes (lines).
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Facebook AI 31. sij
We are releasing HiPlot, a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data.
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Tomek Sułkowski 27. ruj
That feeling when you first discovered `document.designMode`
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Arnaud Miribel 29. sij
Very happy that our paper got accepted at , introducing Broccoli: a new way to learn foreign languages! (hints: 🇫🇷🐱🐶) - Read more
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Jeremy Howard 20. sij
Interesting paper showing how dozens of studies have accidentally leaked large amounts of data from train->test dataset, by duplicating data items prior to doing a random split.
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Max Roser 13. sij
Our mission is to provide the data and research to make progress against the world’s largest problems: What are the world’s largest problems? This week I thought I do a thread on all the global problems we research; starting with health. ↓↓
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Pablo Samuel Castro 18. sij
i just read this excellent paper from 2018: "Relational inductive biases, deep learning, and graph networks". extremely well written, very clear, excellent graphics, and with code. highly recommended! paper: code: :
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Miles Cranmer 18. sij
Awesome interactive demos of different MCMC algorithms:
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Andrew Trask 17. sij
After a year of dev, I am *extremely* excited to share this step-by-step tutorial Goal: to be the *easiest* intro to preserving, Deep Learning It's in I hope you enjoy it
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Emmanuel Ameisen 16. sij
Getting into spaced repetition for memory thanks to and ’s work. It feels like unsupervised vs supervised learning Normal reading is unsupervised Spaced repetition provides labels you get tested on at successive epochs, to minimize memory loss
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Micha Heilbron 16. sij
The 1st paper of my PhD is out today in ! We show that word contexts can enhance letter representations in early visual cortex With , peter hagoort& Paper: TL;DR? Let me unpack it in a few (or so) tweets👇
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Arnaud Miribel 14. sij
Just when I thought I had discovered everything about ... `st.balloons()` 🙌
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Anand Kumar 12. sij
Odgovor korisniku/ci @balajis @r2d3us
has some fantastic ML explainers in this vein — this is my go to resource for teaching new analysts the core concepts for decision trees:
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Balaji S. Srinivasan 12. sij
Loving this trend of impressive new scientific sites. What else is in this vein? - : learn quantum computing - : learn ML - : interactive AI journal - : Medium for scientific publishing
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elvis 12. sij
📰 NLP Newsletter (Issue #1): Tokenizers, TensorFlow 2.1, TextVectorization, TorchIO, NLP Shortfalls,…📰 featuring: , , , , , , , GitHub: Medium:
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Sanja Fidler 11. sij
Current image datasets are getting very large and pre-training on them is time consuming. We are releasing Neural Data Server (NDS), a search engine for transfer learning data! Webservice: Paper:
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Fermat's Library 11. sij
A visual proof why 1+3+5+...+(2n-1)=n² ⚪⚫⚪⚫⚪⚫ ⚫⚫⚪⚫⚪⚫ ⚪⚪⚪⚫⚪⚫ ⚫⚫⚫⚫⚪⚫ ⚪⚪⚪⚪⚪⚫ ⚫⚫⚫⚫⚫⚫
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