Deep Learning for Natural Language Processing - Part of Post Diploma Certificate in Deep Learning and Applied Generative AI (SDGAI)
About This Course
This module covers the basics of Deep Learning (DL) techniques that are specifically designed for processing and analyzing textual data, as well as its various applications. Learners will gain a fundamental understanding of Deep Learning, a subset of Machine Learning, and explore popular Deep Learning models such as Neural Networks, Natural Language Processing (NLP), and Recurrent Neural Networks (RNN). Through hands-on experience, learners will have opportunities to apply these models in natural-language processing. They will also implement and train the Deep Learning models by coding with associated libraries. The course aims to provide learners with the necessary context and background knowledge of DL to succeed in this field.
What You'll Learn
1. Understand the basics of Deep Learning (DL) for textual data.
2. Explore popular DL models like Neural Networks, NLP, and RNN.
3. Gain hands-on experience applying DL models in natural language processing.
4. Implement and train DL models using coding libraries.
Entry Requirements
A recognized local Polytechnic Diploma or Degree in any discipline or at least one (1) year of relevant work experience.