Closed arnoudbuzing closed 4 years ago
Additionally, this is a good overview page of Neural Network functions available in Mathematica / Wolfram Language:
https://reference.wolfram.com/language/guide/NeuralNetworks.html
And the main introduction on how to program with neural networks in Mathematica / Wolfram Language:
https://reference.wolfram.com/language/tutorial/NeuralNetworksIntroduction.html
Thanks @arnoudbuzing pls feel free to create a PR for changes to the respective places - if you signup to the Hacktoberfest you will even get points for your efforts, see details on https://hacktoberfest.digitalocean.com
Ok, I will try.
Having issues with cloning this repository on Windows, maybe due to a ?
character in the filename?
PS D:\git> git clone git@github.com:neomatrix369/awesome-ai-ml-dl.git
Cloning into 'awesome-ai-ml-dl'...
remote: Enumerating objects: 92, done.
remote: Counting objects: 100% (92/92), done.
remote: Compressing objects: 100% (68/68), done.
remote: Total 3629 (delta 48), reused 52 (delta 23), pack-reused 3537
Receiving objects: 100% (3629/3629), 47.64 MiB | 34.09 MiB/s, done.
Resolving deltas: 100% (2047/2047), done.
error: unable to create file data/what-is-a-tensor?.jpg: Invalid argument
fatal: unable to checkout working tree
warning: Clone succeeded, but checkout failed.
You can inspect what was checked out with 'git status'
and retry the checkout with 'git checkout -f HEAD'
Sorry about that, I have removed the name of the file. Can you pls rebase please?
ok, I've added the pull request:
@arnoudbuzing I added the narrations to the page, see 4812e7a8cc8fedc56b89f9c34c0bf2fbfc22ec80, also removed a duplicate link and added the link you might have missed
Let me know if you are happy with this?
Is this issue good to close? Do let me know.
Looks good to me!
Probably a useful link to add to this repo (under Mathematica / Wolfram Language):
https://resources.wolframcloud.com/NeuralNetRepository/
The Wolfram Neural Net Repository is a public resource that hosts an expanding collection of trained and untrained neural network models, suitable for immediate evaluation, training, visualization, transfer learning and more.