Re: [neuralnet] v0.3
Alexandros Drymonitis <[email protected]>
| Newsgroups | gmane.comp.multimedia.puredata.general |
|---|---|
| Message-ID | <[email protected]> |
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. 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). 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 GitHubhttps://github.com/alexdrymonitis/neuralnet >> Thanks to Ben Wesch, Dan Wilcox, IOhannes m zmoelnig, Christof Ressi, >> and others! >> >> Enjoy! >> >> >> --- >> [email protected] - the Pure Data mailinglist >> https://lists.iem.at/hyperkitty/list/[email protected]/message/MG3NZWZFZK7TZH3E4DGSCNJESCHO7Z32/ >> >> To unsubscribe send an email [email protected] mailing list >> UNSUBSCRIBE and account-management ->https://lists.iem.at/ > > > --- > [email protected] - the Pure Data mailinglist > https://lists.iem.at/hyperkitty/list/[email protected]/message/3HYCJAJQOAU4CN5Z4C53ZLU3LV4CCTLB/ > > To unsubscribe send an email [email protected] mailing list > UNSUBSCRIBE and account-management ->https://lists.iem.at/ --- [email protected] - the Pure Data mailinglist https://lists.iem.at/hyperkitty/list/[email protected]/message/LDAF7VVCGME2AEXSHD752OMYY4X2THCR/ To unsubscribe send an email to [email protected] mailing list UNSUBSCRIBE and account-management -> https://lists.iem.at/