I'm excited to announce that "Deploying #TinyML", a free online course from Harvard and EdX, is now available: https://t.co/i4EaU4ftJK
— Pete Warden (@petewarden) March 3, 2021
It shows you how to build a magic wand, person detection, and speech recognition, all on an @Arduino Nano with @TensorFlow Lite Micro!
New code walkthrough on https://t.co/m6mT8SrKDD: speech recognition with Transformer. Very readable and concise demonstration of how to build and train a speech recognition model on the LJSpeech dataset.https://t.co/LDKhOnIBLG
— François Chollet (@fchollet) March 3, 2021
Maturity as a programmer is being happy the problem was something dumb rather than being something hard.
— Hilary Mason (@hmason) March 3, 2021
The secret to good writing is to publish it before you get bored of it. pic.twitter.com/zN4XTS8prm
— Chip Huyen (@chipro) March 3, 2021
WIT: Wikipedia-based Image Text Dataset for Multimodal
— AK (@ak92501) March 3, 2021
Multilingual Machine Learning
pdf: https://t.co/fblyzH2hGe
abs: https://t.co/tVgBdfOnQ5
github: https://t.co/NNkF3oheok pic.twitter.com/nnFUaPJaYU
Shipped! In our new @rapidsai 0.18 release, cuDF adds basic Decimal & nested type support, along w/ more grouped & rolling window aggregations https://t.co/uneKJwr7vu
— RAPIDS AI (@RAPIDSai) March 2, 2021
how domains work: CNAME records https://t.co/aseGTU73Xp pic.twitter.com/zWc5XV9Hr8
— 🔎Julia Evans🔍 (@b0rk) March 2, 2021
Added a tutorial on how to create your own custom filters with ggfx https://t.co/fDhnwCGhYB
— Thomas Lin Pedersen (@thomasp85) March 2, 2021
Our newest @kaggle competition is OCR for chemical compounds. Can you apply ML to translate from an image of the chemical structure to the text string that represents it? 4 million chemical structure images to help solve this problem! https://t.co/YpnGWsxczk
— Ben Hamner (@benhamner) March 2, 2021
This should be interesting 👀@code x @TensorBoard pic.twitter.com/ytMawNyEuS
— Julien Chaumond (@julien_c) March 2, 2021
Plotted minimum wage by state, from 1968 to now. Some states went up, some follow the federal minimum, and others don't budge. https://t.co/jVtBATEO1r pic.twitter.com/AgIgV18nU6
— Nathan Yau (@flowingdata) March 2, 2021
Working through papers I bookmarked last year to update my slides. Re-stumbled upon this interesting paper: "Smooth Adversarial Training" https://t.co/ksuVd91ebb
— Sebastian Raschka (@rasbt) March 1, 2021
If adversarial robustness is relevant for your application, trying those activation funcs sounds like a no-brainer: pic.twitter.com/AjTuGuwJup
