Build a Custom Convolutional Neural Network using PyTorch from Scratch on a Kaggle Image Dataset

This is a Deep Learning tutorial about building a Custom Convolutional Neural Network from scratch using PyTorch from beginning to end.

The code is written in `.ipynb` Notebook on Jupyter.
The dataset used is Santa Claus Image Classification from Kaggle. It consists of 2 classes: whether the image is Santa or Not ?

Github Link for Notebook: https://github.com/shounak8/AIML_Tuto...

Github Link for Deep Learning Notebooks: https://github.com/shounak8/AIML_Tuto...

Kaggle Link for Dataset: https://www.kaggle.com/datasets/deepc...

Email: [email protected]

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