Periyaraja/Developing-a-Neural-Network-Classification-Model-using-Transfer-Learning — reverse-engineered prompt

Build me a simple Jupyter notebook for a transfer learning classification experiment. I want to start with a dataset, load and clean it, split it into training and testing sets, use an existing pre trained neural network as the base, add a small custom classifier on top, train it, and show how well it performs.

Please make the notebook easy to follow for a student, with short explanations before each code cell and comments in the code. Include charts for training accuracy and loss, a confusion matrix, and final accuracy or classification report so I can understand the results.

Also include a small section at the end that explains what transfer learning means and what I should change if I want to use my own dataset. Keep it practical and runnable in a normal Python notebook environment. Look up current library docs online if needed.