Overview
Deep learning (DL) is an important breakthrough in the history of Artificial Intelligence (AI). Thanks to deep learning, we can develop high-performance and intelligent systems to solve real-life problems in many industries, e.g. healthcare, manufacturing, finance and business. DL also handles semi-structured and unstructured data efficiently and has been extensively used in computer vision and natural language processing areas. In this course, we are going to introduce deep learning and its applications and then focus on the design and development of deep learning models for image classification and text analysis tasks.
Course Description & Learning Outcomes
At the completion of the course, the participants will be able to:
Understand deep learning models: basic neural networks, convolutional neural networks (CNN) and recurrent neural networks (RNN)
Understand the universal machine learning workflow for approaching deep learning problems
Develop CNN models to solve computer vision and text analysis problems
Develop RNN models to solve text analysis problems
Schedule
End Date: 07 Nov 2024, Thursday
Location: Online
Pricing
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Deep Learning (Proficiency level: Beginner)
