Hands-On Natural Language Processing with Pytorch

Online Course

Udemy
Hands-On Natural Language Processing with Pytorch

What is the course about?

Hands-On Natural Language Processing with Pytorch
The course Hands-On Natural Language Processing with Pytorch is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Build smart language applications using Deep Learning

Course description
  • Hands-On Natural Language Processing with Pytorch
  • Processing insightful information from raw data using NLP techniques with PyTorch
  • Working with PyTorch to take advantage of its maximum speed and flexibility
  • Traditional and modern NLP methods & tools like NLTK, Spacy, Word2Vec & Gensim
  • Implementing word embedding model and using it with the Gensim toolkit
  • Sequence-to-sequence models (used in translation) that read one sequence & produces another
  • Some basic Machine learning background & experience in programming with Python is required.
  • 2.5 hours on-demand video
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Packt Publishing

Prerequisites & Facts

Hands-On Natural Language Processing with Pytorch

Course Topic

Health and Safety, Social Sciences

University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Hands-On Natural Language Processing with Pytorch

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Hands-On Natural Language Processing with Pytorch
provided by Udemy

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School: Udemy
Topic: Development, Mobile Apps, PyTorch