This repository is dedicated to storing the assignment codes and related details for the Deep Learning course offered by the School of Big Data at the University of Science and Technology of China (USTC), accessible at https://icourse.club/course/22731/. The assignments cover the following topics:
- Assignment 1: Utilizing a simple neural network to fit a sine function.
- Assignment 2: Utilizing a classical CNN network for classification on the Tiny-ImageNet-200 dataset.
- Assignment 3: Utilizing Recurrent Neural Networks (RNNs), leveraging pre-trained word embeddings for text classification on the Yelp2013 dataset.
- Assignment 4: Utilizing a Graph Convolutional Neural Network (GCN) model for node classification and link prediction tasks on graph structures corresponding to the Cora, Citeseer, and PPI datasets.
- Assignment 5: Utilizing a Transformer model for English-to-Chinese machine translation on the WMT 2020 dataset.
Detailed information regarding data preprocessing and model configurations can be found in this repository. Your feedback and suggestions are warmly welcomed.