Pokemon classification using Deep Learning

[DeXtAr47-oss]

Pull Request for DL-Simplified 💡

Issue Title :Pokémon classification using Deep learning

• Info about the related issue (Aim of the project) : The goal of the project is to sucessfully classify various pokemon types from the 7000 dataset in kaggle.
• **Name:**Pritam Das
• GitHub ID: https://github.com/DeXtAr47-oss
• Email ID: pdas9691@gmail.com
• Idenitfy yourself: (Mention in which program you are contributing in. Eg. For a JWOC 2022 participant it's, JWOC Participant) Currently participating in WOC 3.0

Closes: #966

Describe the add-ons or changes you've made 📃

I have successfully built a model to classify various pokemon images through the 7000 pokemon image dataset from kaggle,
I have used a pre-trained resnet-18 model to classify images and i have got a training accuracy about 92% and testing accuracy approx 80%. I have created a new folder name Pokemon classification using DL where i have added a requirments.txt file, created a model folder which consists of a readme.md file and a ipynb notebook, also I have created a images folder where i have the images of the readme file and a dataset folder where it has a readme.md file of the dataset that i have taken from kaggle.

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

Describe how it has been tested
Describe how have you verified the changes made

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

[github-actions]

Our team will soon review your PR. Thanks @DeXtAr47-oss :)

[abhisheks008]

ResNet model is looking good to me. Apart from ResNet you need to implement 2 more models with this dataset, along with that you need to perform an EDA of the dataset.

@DeXtAr47-oss