> That's strange with [neuralnet~]. Do you have the respective binary? @joao : did you add neuralnet to your paths? i'm just checking since i experienced exactly this: since the [neuralnet] is named like the library path, Pd finds it without a specific path. that's not the case for [neuralnet~] though.
cheers, ben On Tue, Sep 17, 2024 at 9:26 AM Alexandros Drymonitis <adr...@gmail.com> wrote: > > Damn, I have the [omniFilter_abs~] there too? I missed that. You can get it > here https://github.com/alexdrymonitis/filter_abstractions > > The [command] object is a replacement of [shell]. If I'm not mistaken, it > doesn't work on Windows. You don't necessarily need it though, I use it to > load training data, but I do provide trained models, so you can test them > without needing to train them from scratch. > > That's strange with [neuralnet~]. Do you have the respective binary? > > On 9/17/24 10:22, João Pais wrote: > > > This abstraction is in the examples/abstractions directory. I just realised > that I have my local osc_abs prepended to the abstraction name. Just remove > that and it should load. > > Ah yes - but then the omniFilter_abs~ is also not present. Also the [command] > object isn't loaded, from which library does it come? > > Strangely, on 06 and 07 examples, [neuralnet~ models/audio_autoencoder~ > encoder] doesn't create, but [neuralnet models/audio_autoencoder~ encoder] > does. (I'm on windows) > > Well, using a neural network boils down to the training dataset that you'll > assemble. Get as many input/output combinations as you can. Then you'll have > to choose the right structure and activation and loss functions, plus > optimizer (although, usually the latter is an Adam). > > Your question is a bit vague, and explaining how to set up a neural network > in an email is not an easy task. Especially for me, since I'm not an expert > (even though I coded this library). > > that's true. in this context, it would envolve getting a 1-(or 2-)dimensional > data, and detecting a pattern over time (probably between 0.1 and 1.5 > seconds). > > > Cheers > > On 9/15/24 23:37, João Pais wrote: > > Hi, is the patch osc_abs/fm_3 missing from the package? > > I'm looking for a way to make a model for leapmotion to recognize gestures > (coming from combinations of xyz or velocity vectores for each finger, for > example). Would you advise using this library for this? > > Best, > > JOao > > > [neuralnet] update! Version 0.3 has just been released! > > New activation functions added > Access to the internal structure of a trained network (e.g. the latent space) > Storing weights and biases during training for visualization > Save models during training > Signal-rate version of the object! > Audio autoencoder example added! > > Binaries for Linux, Raspberry Pi 3,4,5, macOS, and Windows (thanks Ben Wesch > for macOS and Windows) are available through deken. > Souces are available on GitHub https://github.com/alexdrymonitis/neuralnet > Thanks to Ben Wesch, Dan Wilcox, IOhannes m zmoelnig, Christof Ressi, and > others! > > Enjoy! > > > --- > pd-list@lists.iem.at - the Pure Data mailinglist > https://lists.iem.at/hyperkitty/list/pd-list@lists.iem.at/message/6GXHSG7F7QK4B4NVNOPGS7LUSTRCCRBL/ > > To unsubscribe send an email to pd-list-le...@lists.iem.at mailing list > UNSUBSCRIBE and account-management -> https://lists.iem.at/ > > --- > pd-list@lists.iem.at - the Pure Data mailinglist > https://lists.iem.at/hyperkitty/list/pd-list@lists.iem.at/message/CN5NLOG5CMK5FXUW7UMUP4CXNNO7URTK/ > > To unsubscribe send an email to pd-list-le...@lists.iem.at mailing list > UNSUBSCRIBE and account-management -> https://lists.iem.at/ --- pd-list@lists.iem.at - the Pure Data mailinglist https://lists.iem.at/hyperkitty/list/pd-list@lists.iem.at/message/545CV5HZZJHPXVPA2PIEMJDHV4RKN6CP/ To unsubscribe send an email to pd-list-le...@lists.iem.at mailing list UNSUBSCRIBE and account-management -> https://lists.iem.at/
