Carlos Fonseca M

Hi, I'm a .Net Developer.

[Carlos Fonseca M @carlfm01]

@thsottiaux @imnotchalk So you will use Claude now? Devday was .... 💩

[Carlos Fonseca M @carlfm01]

@thsottiaux LOL Why hidding the new x10 on the 200 suscription? WHAT A SCAM

[Carlos Fonseca M @carlfm01]

@JinjingLiang @thsottiaux Just a scam of intelligence. AGI HERE

[Carlos Fonseca M @carlfm01]

What a scam @thsottiaux

[Sharif Shameem @sharifshameem]

I just built a *functioning* React app by describing what I wanted to GPT-3.

I'm still in awe.

[Zaid زيد @zaidalyafeai]

I found https://t.co/ssRmkwSoyw it contains many ML resources like datasets( 684K), notebooks (170), virtual machine images for deep learning (4) and many other resources.

[Alexey Kurakin @alexey2004]

Fixmatch: code for training on Imagenet dataset is released and available here:
https://t.co/ees8y1fSt1

https://t.co/ErAYUhZqTP
by Kihyuk Sohn @D_Berthelot_ML @chunliang_tw @ZizhaoZhang Nicholas Carlini @ekindogus @alexey2004 @Han_Zhang_ @colinraffel

[Jon Kantner @jonkantner]

Radio Hopping
https://t.co/cIoa7UaLqx @CodePen #CSS

[Firefox for Web Developers @FirefoxWebDevs]

Our latest release of DeepSpeech has landed. 🙌🏽

DeepSpeech v0.6 includes a host of performance optimizations - making it easier for application developers to use the engine without having to fine tune their systems. https://t.co/7p6vCCM68f

[Carlos Fonseca M @carlfm01]

A must-read.
by @RafayAK
https://t.co/61Aaoarh7y

[Bruno Simon @bruno_simon]

After months of hard but fun work, I'm glad to finally show you my new portfolio 🚗

https://t.co/rVPv9oVMud

Made with #threeJS and #canonJS

[Google AI @GoogleAI]

This morning, at 9:30am, researcher Daniel Park is discussing #SpecAugment, a simple data augmentation method for automatic speech recognition. Stop by the #Interspeech2019 Google booth to learn all about it and read more at ↓ https://t.co/a9jvVXyYB8

[David Page @dcpage3]

The paper that introduced Batch Norm https://t.co/vkT0LioKHc combines clear intuition with compelling experiments (14x speedup on ImageNet!!)

So why has 'internal covariate shift' remained controversial to this day?

Thread 👇

[rohan anil @_arohan_]

Code for SM3 which is a memory efficient adaptive first-order optimizer is now open-sourced under @GoogleAI research repository. It's useful for training very large language models, for eg: BERT-Large, GPT2 etc. https://t.co/qKpGAXJ3Fd

[Mark @yieldthought]

Squeezing keyword spotting into 16KB with ~91% accuracy using Kronecker decomposition https://t.co/QTs6BsJNJO #TinyML

[Nate McMaster @natemcmaster]

Just released a package for auto-generating @letsencrypt HTTPS certificates for #aspnetcore kestrel apps. Started this repo last year, but finally got around to releasing it to NuGet.

https://t.co/IAvTLe0Agc

[Machine Learning @machinelearnTec]

#Data algorithm reduces the wasted operation via @wef #tech #digital #AI

@HumamAlQussi @nigewillson @entwistletx @HarbRimah @digital_trans4m @YarmolukDan @UrsBolt @maxjcm @Omkar_Raii @PVynckier @physorg_com @EXAGolo

[Jeremy Howard @jeremyphoward]

"New State of the Art AI Optimizer: Rectified Adam (RAdam). Improve your AI accuracy instantly versus Adam, & why it works"
It's been a long time since we've seen a new optimizer reliably beat the old favorites; this looks like a very encouraging approach!
https://t.co/1MZmTbmFjn

[Google AI @GoogleAI]

Project Euphonia is a speech-to-text transcription model for those with atypical speech. In a new @interspeech2019 paper, learn how researchers are collaborating with the #ALS community to develop Euphonia for those with ALS or other speech impairments. https://t.co/mSHSINm88a

[Google AI @GoogleAI]

Speaker diarization—separating speech from different speakers—is critical for joint speech recognition. New research based on a recurrent neural network transducer architecture improves diarization performance by a factor of ~10. Learn how it's done here: https://t.co/hifUGiX3DG