Detecting Cybertrolls using deep learning

Course Description

Learn to build cybertrolls detection engine with CNN, keras, Glove and  popular programming language Python.

Build a strong foundation in Recommendation Systems with this tutorial for beginners.

Understanding of cybertrolls classification

Understand the world of world embeddings

Learn CNN from scratch

Leverage CNN, Keras, Glove to classify cybertrolls in social messages

Learn how to represent text as numeric vectors using glove embeddings

Learn how to evaluate model from scratch

User Jupyter Notebook for programming

Build a real life web application to classify social messages

A Powerful Skill at Your Fingertips  Learning the fundamentals of text classification puts a powerful and very useful tool at your fingertips. Python and Jupyter are free, easy to learn, has excellent documentation.

No prior knowledge of deep learning or Machine learning is assumed. I a, covering topics like CNN, Word Embeddings Precision, Recall in depth so that  even beginners can understand this course very well.

Jobs in text classification systems area are plentiful, and being able to learn it with CNN and Keras will give you a strong edge.

Text Classification ares becoming very popular. Facebook, Twitter and Youtube are few famous example of text classification systems in action.  Text classification systems are vital in information retrieval and keeping away trolls.  Learning CNN with Keras will help you become a natural language processing (NLP) developer which is in high demand.