Analisi del testo e finanza computazionale
Utilizzare Deep Learning Toolbox™ per incorporare il Deep Learning in applicazioni di analisi del testo e di finanza computazionale.
Categorie
- Analisi del testo
Estendere i workflow di Deep Learning con le applicazioni di analisi del testo
- Finanza computazionale
Estendere i workflow di Deep Learning con le applicazioni di finanza computazionale
Esempi in primo piano
Classify Text Data Using Deep Learning
Classify text data using a deep learning long short-term memory (LSTM) network.
Multilabel Text Classification Using Deep Learning
Classify text data that has multiple independent labels.
Sequence-to-Sequence Translation Using Attention
Convert decimal strings to Roman numerals using a recurrent sequence-to-sequence encoder-decoder model with attention.
Compare Deep Learning Networks for Credit Default Prediction
Create, train, and compare three deep learning networks for predicting credit default probability.
Interpret and Stress-Test Deep Learning Networks for Probability of Default
Train a credit risk for probability of default (PD) prediction using a deep neural network. The example also shows how to use the locally interpretable model-agnostic explanations (LIME) and Shapley values interpretability techniques to understand the predictions of the model. In addition, the example analyzes model predictions for out-of-sample values and performs a stress-testing analysis.
Hedge Options Using Reinforcement Learning Toolbox
Outperform the traditional BSM approach using an optimal option hedging policy.
