Recurrent Networks For Language Modeling
Objectives
- Supervised machine learning
- Binary classification
- Neural networks
- N-grams
- Gated recurrent units
- Recurrent neural networks
LSTMs and Named Entity Recognition
Objectives
- Vanishing gradients
- Named entity recognition
- LSTMs
- Feature extraction
- Part-of-speech tagging
- Data generators
Siamese Networks
Learn about Siamese networks, a special type of neural network made of two identical networks that are eventually merged together, then build your own Siamese network that identifies question duplicates in a dataset from Quora.
- One shot learning
- Triplet loss
- Cosine similarity
- Siamese networks
- Data generators