The repo contains lectures and jupyter notebooks for the training sessions in: Deep Learning for NLP
| Session | Title | Slides | Jupyter notebooks |
|---|---|---|---|
| 1 | Introduction | General Introduction Introduction to ML/DL/ANN |
Linear Algebra |
| 2 | Neural Networks | ANN Training Procedure | ANN |
| 3 | Neural Networks | Overfitting and Dropout | Sentiment Classification using ANNs |
| 4 | Neural Networks | Multiclass, Metrics and Optimizers | Multiclass and Adam Unbalanced Datasaets Understanding the Model |
| 5 | Convolutional Networks | Introduction to Session 5 Representation Learning |
Edge detection using Convolutions Agressive Tweets Classification with ANNs and CNNs |
| 6 | Recurrent Neural Networks | RNN, LSTM and GRU | Agressive Tweets Classification with RNNs |
| 7 | Entity Extraction and Language Modeling | - | - |
| 8 | Transfer Learning with RNNs/LSTMs | - | - |
| 9 | Transformers | - | - |
| 10 | Transformers | - | - |
| 11 | Transformers BERT | - | - |
| 12 | Transformers - huggingface | - | - |
| 13 | A use-case from the ground up | - | - |
| 14 | A use-case from the ground up | - | - |
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