A neural network is a machine learning model that uses a layered structure of interconnected nodes (aka neurons) to mimic the human brain's function and structure. Neural networks are a type of deep learning process called artificial intelligence (AI).
Deep neural networks (DNN) are highly complex models that can have billions of parameters that are trained to perform some function. LLMs (Large Language Models) such as ChatGPT are DNNs and what we today call AI. You should use these new AI tools to help write and debug your Python code.
This code demonstrates how to take a CSV file containing monthly mean temperatures and trains a neural network model with it. The second part of the data is used to predict future temperatures using the dates/months given, and ultimately the predictions are tested against the actual values.
Follow along with this example as you complete the code below!