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Welcome to the "CNN from Scratch" tutorial repository! Designed for beginners and enthusiasts, this resource provides a hands-on approach to understanding Convolutional Neural Networks (CNNs) from the ground up, allowing you to build powerful models without relying on pre-existing frameworks.

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WiDS-2023

Welcome to Winter in Data Science Program! We are going to delve in the fascinating world of Machine learning and learn how to create neural networks and train models using datasets from scratch and finally we will create a Convolutional Neural Network (CNN) from scratch to detect brain tumor.
This README will guide you through the resources and materials provided in this repository to ensure a smooth and effective learning experience.

Table of Contents

  1. Week-1
    We'll be diving into the fundamentals of Python and essential data science libraries such as NumPy, Matplotlib, and Pandas.
  2. Final Project
    Creating a CNN model to detect brain tumor from grayscale MRI images

Getting Started

Before diving into the content, make sure you have the following prerequisites installed on your machine:

Clone this repository to your local machine using the following command:

git clone https://github.com/Dhvanil-CSE/WiDS-2023.git

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Welcome to the "CNN from Scratch" tutorial repository! Designed for beginners and enthusiasts, this resource provides a hands-on approach to understanding Convolutional Neural Networks (CNNs) from the ground up, allowing you to build powerful models without relying on pre-existing frameworks.

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