Natural Language Processing Tutorials

Building deep learning models (using embedding and recurrent layers) for different text classification problems such as sentiment analysis or 20 news group classification using Tensorflow and Keras in Python

Building a deep learning model to generate human readable text using Recurrent Neural Networks (RNNs) and LSTM with TensorFlow and Keras frameworks in Python.

Classifying emails (spam or not spam) with GloVe embedding vectors and RNN/LSTM units using Keras in Python.