Learn mobile development through practical, hands-on projects and real-world applications.
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. This course uses Python 3.
6, Pytorch 1. 0, NLTK 3. 3.
0, and Spacy 2. 0 , while not the latest version available, it provides relevant and informative content for legacy users of PyTorch. About the Author:Jibin Mathew is a Tech-Entrepreneur, Artificial Intelligence enthusiast and an active researcher.
View pricing and check out the reviews. See what other learners had to say about the course.
Affiliate disclosure: if you enroll through links on this page, the course provider may pay us a commission. This comes at no extra cost to you and does not influence how we describe courses.
Not sure if this is right for you?
Browse More Mobile Development CoursesExplore more Mobile Development courses to deepen your skills and advance your expertise.
