Bucharest.AI - Introduction to NLP

This a repository of code samples for a workshop conducted with Bucharest.AI, October 2018.

Agenda

Notebooks

1.1 Introduction to TensorFlow notebook containing some basic usage of TensorFlow graph, as an example we implemented Logistic regression clasiffier as TF graph
1.2 Word Embeddings for IMDB here create word embeddings based on IMDB dataset from Keras
1.3 Embeddings Visualization here we have an example how we can visualize our embeddings in 2D or 3D using PCA or t-SNE
2.1 Pre-trained embeddings let's compare accuracy of our own word embeddings with one that can be found on the iternet, does it really help?
[2.2 Sentence Embeddings]
3. Clasiffier & TF Hub let's benefit from Google research team and reuse pre-trained model deliverd as ready-to-use modules on TF Hub
SGD axuilarry notebook with explanation of SGD

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
.gitignore		.gitignore
1.1 Introduction to TensorFlow.ipynb		1.1 Introduction to TensorFlow.ipynb
1.2 Word Embeddings for IMDB.ipynb		1.2 Word Embeddings for IMDB.ipynb
1.3 Embeddings Visualization		1.3 Embeddings Visualization
2.1. Pre-trained embeddings.ipynb		2.1. Pre-trained embeddings.ipynb
2.2. Sentence Embeddings.ipynb		2.2. Sentence Embeddings.ipynb
3. Classifier_with_TF_Hub_and_Keras.ipynb		3. Classifier_with_TF_Hub_and_Keras.ipynb
README.md		README.md
SGD.ipynb		SGD.ipynb

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