Recurrent Neural Networks for Language Modeling in Python
Course Report
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Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Introduction to Deep Learning in Python
Introduction to Natural Language Processing in Python
What You Will Learn
Use RNNs to classify text sentiment, generate sentences, and translate text between languages
You will learn the foundations of Recurrent Neural Networks (RNN). Starting with some prerequisites, continuing to understanding how information flows through the network and finally seeing how to implement such models with Keras in the sentiment classifi
You will learn about the vanishing and exploding gradient problems, often occurring in RNNs, and how to deal with them with the GRU and LSTM cells
You will learn about the vanishing and exploding gradient problems, often occurring in RNNs, and how to deal with them with the GRU and LSTM cells
You will create a model that translates Portuguese small phrases into English
Course Instructors
David Cecchini
Data Scientist
Course Reviews
Average Rating Based on 3 reviews
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