Course Description
Learn to build news classification engine with CNN, keras, Glove and popular programming language Python.
Build a strong foundation in text classificationwith this tutorial for beginners.
Understanding of text classification
Understand the world of world embeddings
Learn CNN from scratch
Leverage CNN, Keras, Glove to classify news
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 news
A Powerful Skill at Your FingertipsLearning 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. Washington Post, News York Times, Amazon, Google eCommerce websites are few famous example of text classification systems in action. Text classification systems are vital in information retrieval and personalizing news. Learning CNN with Keraswill help you become a natural language processing (NLP) developer which is in high demand.
Content and Overview
This course teaches you on how to build news classification system using open source Python and Jupyterframework. You will work along with me step by step to build following answers
Introduction to text classification systems.
Introduction to CNN, Word Embeddings
Build an jupyter notebook step by step using CNN and glove embeddings
Build a real world web application to classify news
What am I going to get from this course?
Learn text classification and build real news classification engine from professional trainer from your own desk.
Over 10lecturesteaching you how to build news classification systems
Suitable for beginner programmers and ideal for users who learn faster when shown.
Visual training method, offering users increased retention and accelerated learning.
Breaks even the most complex applications down into simplistic steps.
Offers challenges to studentsto enable reinforcement of concepts. Also solutions are described to validate the challenges.
Note: Please note that I am using short documents in this example to illustrate concepts. You can use same code for longer documents as well.
