Hi, Bit of a beginners question. Recently I have been learning how to do machine learning with Keras in python. The last time I did neural nets, I wrote all the code myself in C after reading a paper on backpropagation, and that was in around 1996!! Despite gaining a masters degree in AI in 1998, …

Sorry I don’t have any answers but just wanted to +1 because these are the kind of questions I have as someone not coming from an AI/ML background. I know Mojo is certainly not intended for ‘beginners’ as it stands, but I think at some point an eye must be trained on people who want to come into Moj…

Yes, maybe there is no native equivalent of Keras for Mojo yet, and that is the missing piece that would let me build deep learning nets in a similar fashion to how I currently do in python. Looking at the docs for Max I see: - graph | Modular Docs “The MAX Graph API provides a low-level programmi…

About the graphs library: - graph | Modular Docs Does this support auto differentiation of compute graphs? I think auto differentiation is not needed for inferernce, only training? Without auto diff quite a bit more work to write an optimizer as would need to work out the differentiations manually. …

Hi Will! I have a couple of suggestions for places you might want to start. You’re right that the MAX Graph API is targeted towards inference right now. There are some Mojo projects out there that might give you a good start: Endia Basalt Momograd I’ve also found Understanding Deep Learning to …

Thanks for that. Skimming the READMEs of Endia, Basalt and Momograd it seems like things in this area are “in their infancy”. Endia has an impressive sounding version stamp of 24.5.0, until I realise that has been done to match the Mojo version, rather than say anything indicative about the maturity…

It’s still early days, but we’re building out a platform for hosting community packages along with the prefix.dev team. You can find details about it here: GitHub - modular/modular-community: A repo to hold community-submitted rattler-build recipes, to make community packages available via the modul…

I get a 404 on that channel? https://repo.prefix.dev/modular-community - but no big deal, I am sure it will be available when its ready. And I can see that prefix.dev indexes all its channels and makes them searchable which is nice. Thanks for all your helpful pointers, feel like I have enough of a…

Welcome to the wild world of modern machine learning! You’re right a lot has changed since the late nineties. We’ve gone from hand-coding backpropagation, to frameworks, back to hand-coding backpropagation again in some cases. Before I get into how things map to Modular’s stack, because you mention…

[image] BradLarson: I thought I’d recommend François Chollet’s “Deep Learning with Python” … However, as can be seen in the above-linked frameworks, there’s nothing preventing the use of our low-level primitives to do graph transformations for setting up the backward pass. I am actually rea…

I’m pretty keen as well on the ML/DL side of mojo since this is what I currently study in school. Afaik with mojo still actively being developed there are some ML/DL frameworks currently being developed. There is also a Discord server for the community if y’all by chance have not yet heard. 1 of ou…

Getting started with deep learning

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Getting started with deep learning

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