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Continued on with my quest (inspired by the #fastai course) to generate '8' digits out of random noise today, this time with some success! Look at the before and after photos after just 500 iterations (haha).

My blogpost contains the code and the approach taken (perceptual loss). The approach is conceptually less simple than what we tried last time round, but at least we managed to get some results now.

https://mlops.systems/posts/2023-03-18-stable-eights-part-two.html

I accidentally built a way to adversarially generate handwritten images that seem to be of the number eight, but aren’t. 🤯

This experiment was around the core process going on in the generative #diffusion process. (A side-quest within the #FastAI part 2 course.)

https://mlops.systems/posts/2023-03-05-stable-eights-adversarial.html

I accidentally built a way to adversarially generate handwritten images that seem to be of the number eight, but aren’t. 🤯

This experiment was around the core process going on in the generative #diffusion process. (A side-quest within the #FastAI part 2 course.)

https://mlops.systems/posts/2023-03-05-stable-eights-adversarial.html

I am looking forward to working with a #machineLearning / #deepLeaning product, as I hope that it will give me purpose in my own efforts of following #fastai 's #PracticalDeepLearningForCoders.

The good thing about working at an early stage start up is that boundaries are fuzzy, and despite being a #Ruby engineer, I hope to get my paws dirty hacking some #tensorFlow / #pytorch

🤖 Coding your own AI in 2023 with fastai
by Vincent Will @wweb_dev
#CodingAI
#fastai
#webdev
#coding
#python
#deeplearning
#ai
#beginners

https://dev.to/vincenius/coding-your-own-ai-in-2023-with-fastai-2pbk

Last time I looked at #AI, there was only Tensorflow out there and it felt like super steep learning curve to do anything with it.

In the last 2 days I learned how different AI landscape is now - numerous high level tools with #fastai and #huggingface stealing my heart - love how easy it is to start with opinionated approach as well as providing get resources to start the journey.

@dataschrat I like the #fastAI concept. They go end to end from the beginning. And dive deeper and deeper later on. Iterating fast is key. Setup can be painful, for me the hardest part. https://course.fast.ai/

#introduction
Dear all!
I am here on my #DataScience journey.
Studied #statistics a while ago in #munich

Working in pharma as a biostatistican for many years. Due to single parenting these days only two days a week. My sons are 12 and 16. (Their mother died 3 years ago due to cancer)

My passion is on predictive modelling. Since my personal crisis is almost over, I am back on track. This time on the #fastAI train, hoping to find some companions on my way.

Best regards,

Vielauge

Today was about starting to better understand calculus. The maths has always been my Achilles heel for the #fastai course and I can’t afford to wait until we cover those topics in my #openuniversity degree, so I’m diving in now.

Watched the beginnings of the #3blue1brown video series and started to develop a very high-level understanding.

Two key concepts: derivatives and integrals.

I’ll write a blog tomorrow summarising the extent of my understanding. #100DaysOfFastAI

@claforte that's great advice! Glad to know others are using this in production, it's such a great tool. #nbdev #fastai

@eddiekirkland add a command to export all notebooks at the end of each of your notebooks. (It's probably in the docs.) Then train yourself to always run the whole notebook once you feel you're done with your task. That way unit tests will run as well. We have a big project at AMD that uses nbdev that way. #nbdev #fastai

Working through the #fastai materials last week I had the first validation of my decision to study mathematics in more depth (via the #openuniversity #Q31 course).

Index rules came up during one of the classes where we were simplifying some expressions, and I actually knew what was going on because I'd just happened to study that in my maths homework!

Looking forward to much more cross-fertilisation along my journey!

Working through the #fastai materials last week I had the first validation of my decision to study mathematics in more depth (via the #openuniversity #Q31 course).

Index rules came up during one of the classes where we were simplifying some expressions, and I actually knew what was going on because I'd just happened to study that in my maths homework!

Looking forward to much more cross-fertilisation along my journey!

#introductions

Hello. I'm an incurable dabbler. I like lots of things. Here are a few: #Mountains #MountainBike #TelemarkSkiing #Photography #BelieveInFilm #BlackAndWhite #Vinyl #FilmNoir #Programming #Python #Clojure #FastAI #Brewery #Stickshift #RoadTrip #Travel #AmateurRadio #Law.

@victorvicpal it’s a really impressive effort. I feel like it’s the go to standard for everything that requires 3D model. For 2D Models in #medicine I still see alot of #fastai being used :)

@iamgianluca 👋 Hi fellow #fastai alumni !

@b0rk the tech. is not perfect yet, but you could try experimenting with using #stablediffusion Image to Image models.

Here's a notebook (run on Colab) from an ongoing #fastai course, if scroll down to the Image to Image section, there's an example of a doodle -> wolf under moonlit sky image generation.

And if you're curious, the community forums are a very welcome place. And @pcuenq could probably answer questions on the #diffusers library innerworkings.

https://github.com/fastai/diffusion-nbs/blob/master/stable_diffusion.ipynb

#TIL Text can be hidden in specific formats in
#Quarto

So you can add markdown notes & to-do's in your #nbdev #python library notebooks for developers only that won't be included in your docs site 🤯

Link to nbdev by
#FastAI
: https://nbdev.fast.ai

Link to #Quarto docs features: https://quarto.org/docs/authoring/conditional.html#content-hidden