This repository contains the Jupyter Notebook materials for a university course on deep learning applications. The course covers classic neural network architectures including Convolution Neural Networks (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Neural Networks (GRU), and General Adversarial Networks (GAN), with applications spanning computer vision, time series, NLP, and data generation. Students implement deep learning models using Python with Google TensorFlow and Keras frameworks.