Getting-started with deel-lip #78
Conversation
|
Thanks @Sharing-Sam-Work for your contribution! |
There was a problem hiding this comment.
Very good introductory notebooks! I believe it makes things clearer and smoother for inexperienced users. These tutorials enhance the main tools of deel-lip: the custom layers and the specific losses.
I suggested some improvements. Feel free to take them into account or not. We can discuss about them later on.
|
Thank you @Sharing-Sam-Work for this great work 👍
My suggestion is to merge this PR in a temporary branch here in this repo so we can take care of this without requiring @Sharing-Sam-Work to do it. |
…rofessionals in industrial sectors who want to swiftly grasp the practical applications of the package. These tutorials offer a concise introduction to utilizing the package for producing and training robust 1-Lipschitz deep learning models. The focus here is on practical implementation rather than delving deeply into theoretical aspects. We provide practical suggestions to enhance user-friendliness and usability, making these tutorials ideal for those aiming for a practical working knowledge of the library and its functionalities, rather than an exhaustive theoretical exploration.
…class' k parameter in Getting-Started 1 and changed the hyper-parameter of the HKR loss function for Getting-Started 2)
Sharing-Sam-Work
force-pushed
the
master
branch
from
71e714b
to
8aaafbd
Compare
Getting started
|
I have taken into account the comments. |
….md and index.mdof the google collab link
….md and index.mdof the google collab link Added title to the getting started notebooks in the README.md file
|
The two Getting Started notebooks were merged into master. I suggest to close this PR |
I have created two new tutorial notebooks specifically tailored for professionals in industrial sectors who want to swiftly grasp the practical applications of the package. These tutorials offer a concise introduction to utilizing the package for producing and training robust 1-Lipschitz deep learning models.
The focus here is on practical implementation rather than delving deeply into theoretical aspects. We provide practical suggestions to enhance user-friendliness and usability, making these tutorials ideal for those aiming for a practical working knowledge of the library and its functionalities, rather than an exhaustive theoretical exploration.
I have tested the changes with: tox -e py310-lint
I have also visualized the changes with: mkdocs serve
If the changes are validated, the google collab link will need to be changed in docs/index.md, so that they come from the deel-lip repository as opposed to mine (Sharing-Sam-Work), as in the below:
|
| Getting started 1 - Creating a 1-Lipschitz neural network |