deep learning 17
- Generative Adversarial Network (GAN)
- Variational Autoencoders (VAE)
- Transformer and Self-attention
- Sequence-to-Sequence and Attention
- Autoencoder
- Transfer Learning
- Batch and Layer Normalizations
- Advanced Regularization
- LSTM and GRU
- Hyperparameters in Deep Learning
- Recurrent Neural Network
- Convolutional Neural Network
- Backpropagation
- FeedForward Neural Networks
- Architecture Design
- Mathematics for Deep Learning
- Introduction to Deep Learning