This is a repository for the Neural Networks and Deep Learning course at NTU.
Tools used: Python 3.7.0 with Tensorflow 1.10.0, NumPy and Matplotlib
The following models have been developed in the course, and I have tried to further optimize & experiment with the models after course completion.
- Object recognition with a CNN model
- Optimizer evaluation, GD, SGD, ADAM, RMSProp, Momentum
- Wikipedia text classification
- CNN / RNN models on char and word sequence
- GRU / LSTM / multi-layer RNN
- MNIST handwritten digit classification
- Multi-variable regression