Natural Language Processing Nanodegree Program

Intermediate knowledge of machine learning techniques You can describe backpropagation, and have seen a few examples of neural network architecture (preferrably a recurrent neural network or a long short-term memory network)

Intermediate statistics background You are familiar with probability

You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before

You need to have intermediate to advanced Python experience You are familiar with object-oriented programming You can write nested for loops and can read and understand code written by others

Build a machine translation model using recurrent neural network architectures

Build a speech recognition model using deep neural networks

Build a speech tagging modelLearn advanced techniques like word embeddings, deep learning attention, and more

Explore machine learning methods in sentiment analysis

Learn text processing fundamentals, including stemming and lemmatization

Learn voice user interface techniques that turn speech into text and vice versa

This Nanodegree program accepts all applicants regardless of experience and specific background