Course on Neural Networks

This is a beginners course on neural network for Cogito NTNU's spring semester start.

In this hands-on workshop, participants will learn the fundamentals of neural networks through practical experience with the Red vine quality dataset. By the end of the session, you will be able to:

• Understand the basic concepts of machine learning.
• Create and train a neural network in Python with pytorch.
• Apply machine learning algorithms to real-world data.
• Evaluate the performance of Neural networks.
• Collaborate with a team to solve machine learning problems.

Prerequisites

• Ensure that git is installed on your machine. Download Git.
• Basic programming knowledge (Python recommended) Download Python.
• Familiarity with Jupyter Notebooks.

Setup

1. Clone the repository.

git clone https://github.com/CogitoNTNU/course-on-neural-networks.git

2. Install juptyer notebook

pip install ipykernel -U --user

How to Use This Notebook

Follow the parts in order, completing tasks and exercises as you go. Experiment with the code cells to reinforce your learning. Refer to the "Extras" section for additional tools and techniques beyond the course scope. Happy learning!