2018-2019 Semester 2 at Soton, lab practices for Deep Learning DL various CV and NLP small project sets:
- Automatic Differentiation Implementation using Back Propagation Algorithm.
- Linear Regression, Logistics Regression and Softmax Regression.
- Stochastic Gradient Descent, SGD Momentum and Adam Algorithms.
- (CV) Used MLP and CNN respectively for the number recognition problem of the MNIST data set.
- (CV) Used pre‑trained ResNet50 and transfer learning for boat image classification problems.
- (NLP) Utilised RNN, LSTM, and CNN for the IMDB movie review sentiment classification problem.
- (CV) Implemented denoising Autoencoder and Variational Autoencoders respectively for the Fashion‑MNIST Dataset Fashion‑MNIST Dataset.