Advanced NLP Projects with TensorFlow 2.0 [Video]
Natural Language Processing (NLP) is the field of Artificial Intelligence that deals with text analysis and understanding. Some of the fields in which NLP is widely used are sentiment classification, spam detection and topic detection. Deep Learning is one of the tools that helps us solving NLP problems.
This course will get you started with real world NLP projects and you will learn how to get the best from text data. We will be building and training models in real-world projects and focus on interactions between computers and humans with Tensorflow 2.0. Together we will dive deep in a collection of text, writing a jupyter notebook step by step until we obtain actionable insights and powerful visualizations.
By the end of the course, you will be able to build and implement your own NLP techniques and projects effectively with much ease confidently.
All the code and supporting files for this course are available on GitHub at: https://github.com/PacktPublishing/Advanced-NLP-Projects-with-TensorFlow-2.0Style and Approach
The course will have complete instruction to build a real world python pipeline based on tensorflow. Every step will be commented and explained with powerful visualizations that will be in the final code.
In the key parts of the pipeline useful tips will be provided so that you will end up being able to adapt and build your own Tensorflow pipeline. Everything will be focused on reproducing the real word problems.
|Course Length||1 hour 12 minutes|
|Date Of Publication||30 Mar 2019|