COMP 475 Assignment – Reinforcement and Deep Learning

Overview

This repository contains practical assignments and implementations for COMP 475: Reinforcement and Deep Learning.

The purpose of this project is to provide hands-on experience with important concepts in Deep Learning, including:

• Convolutional Neural Networks (CNNs)
• Image classification
• Recurrent Neural Networks (RNNs)
• Long Short-Term Memory (LSTM) networks
• Time-series and stock trend forecasting
• Data preprocessing
• Model training and evaluation

Each practical task is implemented using Python and Jupyter Notebooks.

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Project Structure

COMP-475-ASSIGNMENT-CAT/
│
├── Practical_Task_1_CNN_for_Fashion_MNIST_Classification.ipynb
│
├── Practical_Task_2_RNN_LSTM_for_Stock_Trend_Forecasting.ipynb
│
└── README.md