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Deep learning overview, representation learning methods in detail (sammons map, t-sne), the backprop algorithm in detail, and regularization and its impact on optimization.
- Dimensionality reduction
- Word2vec
- PCA
- Sammon’s map
- Regularization
- t-SNE
- Factorized Embeddings
- Latent variable models
- ALI/BiGAN