Hands-On Natural Language Processing with Pytorch

Video description

Build smart language applications using Deep Learning

About This Video

  • Extensive practical training to understand the combined working of NLP, deep learning, and PyTorch
  • Work with both traditional & modern NLP tools like NLTK, SpaCy & Word2Vec for creating real world NLP models.
  • Each chapter includes several code examples and illustrations for an in-depth understanding of performing complex NLP tasks

In Detail

The main goal of this course is to train you to perform complex NLP tasks (and build intelligent language applications) using Deep Learning with PyTorch.

You will build two complete real-world NLP applications throughout the course. The first application is a Sentiment Analyzer that analyzes data to determine whether a review is positive or negative towards a particular movie. You will then create an advanced Neural Translation Machine that is a speech translation engine, using Sequence to Sequence models with the speed and flexibility of PyTorch to translate given text into different languages.

By the end of the course, you will have the skills to build your own real-world NLP models using PyTorch's Deep Learning capabilities.

Audience

If you’re a developer, researcher or aspiring AI data scientist ready to dive deeper into this rapidly growing area of artificial intelligence then this course is for you! Some basic Machine learning background & experience in programming with Python is required.

Publisher resources

Download Example Code

Product information

  • Title: Hands-On Natural Language Processing with Pytorch
  • Author(s): Jibin Mathew
  • Release date: January 2019
  • Publisher(s): Packt Publishing
  • ISBN: 9781789133974