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girlscript / winter-of-contributing

GirlScript Winter of Contributing is a three-month-long Open-Source Program organized by🧡GirlScript Foundation to create the world's largest multilingual content repository that will be available to everyone.
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Data Science with Python : Multilayer Perceptron #429

Open prathimacode-hub opened 2 years ago

prathimacode-hub commented 2 years ago

Welcome to 'DSWP' Team, good to see you here

This issue will helps readers in getting all the guidance that one needs to learn about Multilayer Perceptron. Tutorial to Multilayer Perceptron and how it's applied and used effectively.

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 : Dhruv Bajaj / Peehu Saxena

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. 😎

GauravPoosarla commented 2 years ago

I would like to work on this. Gaurav Poosarla - 692 Batch - 18 Issue No - #429 Type: Documentation Approach: Multilayer Perceptron Introduction, MNIST, Activation Functions

prathimacode-hub commented 2 years ago

Issue is assigned to @GauravPoosarla for documentation

Anindyadeep commented 2 years ago

/assign

I want to contribute here Name : Anindyadeep Batch 1 Approach :

  1. What is MLP
  2. basics of maths for MLP
  3. coding a dummy MLP
  4. using keras and pytorch to show working of MLP
prathimacode-hub commented 2 years ago

What kind of contribution? Documentation is already done. @Anindyadeep

Anindyadeep commented 2 years ago

Okk ...

deepthi1107 commented 2 years ago

Hello, I am Deepthi M with serial number:172, Batch-5. I would like to do video on this issue. My approach: a detailed explanation

prathimacode-hub commented 2 years ago

Issue assigned to @deepthi1107 for video contribution

ashish-reddy-20-08 commented 2 years ago

@prathimacode-hub , Mam I am M. Ashish Reddy. I would like to do AUDIO on this issue. Batch number: 5 serial number:174. Approach: A detailed explanation with examples and real life uses

prathimacode-hub commented 2 years ago

Issue assigned to @ashish-reddy-20-08 for audio contribution