winter-of-contributing
winter-of-contributing copied to clipboard
girlscript
Data Science with Python : Convolution Neural Networks
Welcome to 'DSWP' Team, good to see you here
This issue will helps readers in giving all the guidance that one needs to learn about Introduction to Convolution Neural Networks. Tutorial to Convolution Neural Networks and how it's applied using sample code.
To get assigned to this issue, add your serial numbers mentioned in the spreadsheet of "Data Science with Python", the approach one would follow and choice you prefer (Documentation, Audio, Video). You can go with all three or any number of options you're interested to work on.
If you had referred any resources, add them up in "DS Resources". Similarly if you had used datasets, include them in "DS Datasets".
Domain : Deep Learning
Mentors Assigned : Nithin / Gauri Bharadwaj
Points to Note :
The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
"Issue Title" and "PR Title should be the same. Include issue number along with it.
Changes should be made inside the Datascience_With_Python/ directory & Datascience_With_Python branch.
Follow Contributing Guidelines & Code of Conduct before start Contributing.
This issue is only for 'GWOC' contributors of 'DSWP' domain.
All the best. Enjoy your open source journey ahead. 😎
Hi @prathimacode-hub I would like to work on this issue by using datasets of kaggle and explain step by step. I will use tensorflow library for this explanation. Serial number: 297 Documentation mode
I will add the code explaining the topic along with comments. The notebook will have codes explaining the stuff from scratch.
I am Medini N B. Serial Number : 585, DSWP batch - 16
Edit: I can explain it using PyTorch
Hello, I am Gopinath Balaji with serial number: 315. I would like to do documentation on this issue. I will explain the basics of CNN using a simple CNN model.
@subhendudash02, issue is assigned to you for documentation.
If anyone interested for Audio/Video, let me know. There are many more issues coming up. Stay tuned. @GopinathBalaji @imedusa
@prathimacode-hub maam, I would like to work on this issue for the Video explanation. I be explaining the components and code by the medium of a ppt step by step. I will be using tensorflow and keras, and would gaze through a practical implemenation of the same as well. I request you to please assign the video contributuion for this issue to me.
Serial No.: 327
@prathimacode-hub I would like to work on the audio presentation for this issue. I would explain the basics of CNN and some types of models in it like VGG-16 Serial no:842, batch:20
@prathimacode-hub I have created a PR for the video contribution of this issue. Kindly review the same. Thanks
Link to the PR: https://github.com/girlscript/winter-of-contributing/pull/3393