Mialo AI

Computer Vision and Deep Learning solutions.

[Mark Riedl @mark_riedl]

I’m having an anxiety attack. Anyone else having an anxiety attack?

[Papers with Code @paperswithcode]

🎉 A huge update to Papers with Code: now with 2500+ leaderboards and 20,000+ results. Plus, results now link directly to tables in arXiv! Read more in our blog post below and feel free to submit results from your own papers! https://t.co/iAZTk2fvbe

[hardmaru @hardmaru]

RIP, John Conway.

[Antonin Raffin @araffin2]

We have just added "RL tips and tricks" to the documentation, it covers:
- general advice about RL (where to start, which algorithm to choose, rl best practices, …),
- tips when creating a custom environment
- how to have a working RL implementation

https://t.co/FmtUKzDPdk

[Emil Wallner @EmilWallner]

Machine learning portfolio tips

1. Good ideas come from ML sources that are a bit quirky.

- NeurIPS from 1987 - 1997
- Stanford’s CS224n & CS231n projects
- Twitter likes from ML outliers
- ML Reddit’s WAYR
- Kaggle Kernels
- Top 15-40% papers on Arxiv Sanity

[François Chollet @fchollet]

An end-to-end tutorial showing how to deploy Keras models on Android via TFLite: https://t.co/QRGYs2EJMP

[Josh Gordon @random_forests]

TensorFlow 2.0 has been released! Congrats everyone, and thanks for making this possible.

Release notes: https://t.co/NSgSiswauO

[Joseph Redmon @pjreddie]

I’m not sure if I’ve ever tweeted about it but if you want to learn computer vision I put my whole course from last year up on YouTube, check it out!

https://t.co/OMFSgLMY2e

[Ben Poole @poolio]

Big hierarchical VQ-VAEs with autoregressive priors do amazing things. Awesome work from @catamorphist @avdnoord @OriolVinyalsML: https://t.co/KxtyogtqBu

[François Chollet @fchollet]

Every time you overstate the capabilities of an AI system or the speed of AI progress, you are doing the public trust equivalent of taking on credit card debt. Which at some point the industry will have to repay (presumably, culprits are hoping someone else will pay).

[Andrej Karpathy @karpathy]

ConvNets on microcontrollers (e.g. Arduino Uno). In ranges of ~1cm^2 chips, ~$1 costs, running at ~1mW, and 4 MOPs/Sec, 2KB of RAM (intermediate tensors), and 32KB flash (weights). E.g. even LeNet is 420KB model and 177KB RAM. Very interesting to see this line of work develop.

[Andrej Karpathy @karpathy]

New blog post: "A Recipe for Training Neural Networks" https://t.co/5lBy4J77aS a collection of attempted advice for training neural nets with a focus on how to structure that process over time

[God @TheTweetOfGod]

Artificial intelligence isn't a threat to humanity. Natural stupidity is.

[Emil Wallner @EmilWallner]

If you're bootstrapping yourself into deep learning research, here’s what I would do:

1. FastAI (3m)
2. Personal projects/reproduce papers/consulting (3 - 12m)
3. Flashcard the Deep Learning Book (4-6m)
4. Flashcard ~100 papers in a niche (2m)
5. Publish your first paper (6m)

[Jeremy Howard @jeremyphoward]

Pretrained ULMFiT language models for 10 Indian languages!
https://t.co/zor6KQTtyd

[Emil Wallner @EmilWallner]

Attract self-taught AI talent by:

- Hiring based on portfolio and applied ML
- 100% transparent requirements
- No cover/recommendation letters, nor theory questions
- Offer on-the-job theory training
- Facilitate part-time PhDs and transitions into research roles

[Lezwon Castelino @Lezwon]

“the most important thing is the ability to desire and to be obsessed with something. This is the ability to get interested, not to surrender halfway, put all on till the end and fight to the last second. If you have the desire, then you will understand how to become the best.”

[Jaison @jaisonsaji]

Part two of 'building a self-driving toy car' in progress! If you haven't read the first part check it out here: https://t.co/H7cNlh57RB

[Years Progress @YearsProgress]

▓▓░░░░░░░░░░░░░ 10%

[FloydHub @FloydHub_]

🚗@jaisonsaji is building his own self-driving (toy) car with @Raspberry_Pi, #Keras, and @FloydHub_. His first post dives into the history and #DeepLearning technology behind autonomous vehicles:
https://t.co/E8RSYFJdoR