Sequence Modeling with RNNs
Suriyadeepan Ramamoorthy
Who Am I?
- AI Research Engineer, SAAMA Tech.
- I work in NLU
- I am a Free Software Evangelist
- I'm interested in
- AGI
- Community Networks
- Data Visualization
- Generative Art
- Creative Coding
- And I have a blog
At SAAMA
- Adverse Drug Event Extraction
- Pharmacovigilance
- Drug-Drug Interaction
- Protein-Protein Interaction
- Clinical Trial Optimization
- Inclusion-Exclusion Criteria
- OCR for Clinical Notes
- Machine Learning on EHR
- Genome Sequence Modeling
ADE Extraction
The Deep Learning Revolution
- Neural Networks
- Representation Power
- Specialized Networks
- Availability of labelled data
The Deep Learning Revolution
- Automatic Feature Learning
- Hierarchical Representation
The Deep Learning Revolution
The Deep Learning Revolution
- Automatic Feature Learning
- Hierarchical Representation
- Gradient Descent based Optimization
- Differentiable Networks
The Deep Learning Revolution
The Deep Learning Revolution
Sequence Modeling
y=softmax(o)
o=tanh(W2h1+b2)
h1=tanh(W1x+b1)
Recurrence
Recurrent Neural Network
Vector to Sequence
Sequence to Sequence
Bidirectional RNN
Stacked RNN
Flavors of RNN
Vanilla
LSTM
Long Short Term Memory
LSTM
LSTM
GRU
Gated Recurrent Unit
Sequence Modeling with RNNs Suriyadeepan Ramamoorthy suriyadeepan.github.io