Advanced Machine Learning: Deep Learning
Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2025056371
S$525
Original: S$1,050
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About This Course
At the end of the course, participants will be able to:
• Articulate an efficient procedure for the implementation and evaluation of deep learning models.
• Understand the basic definitions and applications of CNN, LSTM, and GAN.
• Define the business case for a deep learning approach.
• Demonstrate an understanding of the practical aspects of deep learning, its platforms and tools.
• Solve authentic business problems with deep learning models.
What You'll Learn
The application of machine learning is deepening and widening in the world of business and technology. Among different machine learning algorithms, deep learning stands out. Since its introduction in 2006, deep learning has fulfilled some of the oldest artificial intelligence promises, such as autonomous/driverless vehicles, machine translation, precise and speaker-independent speech recognition, and robust visual object recognition. Deep learning systems have even beaten human experts in their field and achieved remarkable performances.
In this course, we will address the what, why and how of deep learning. What is deep learning? Why do we need deep learning? And how do we apply and harness the benefits of deep learning in business cases? We will focus on the three popular deep learning algorithms, namely Convolutional Neural Networks (CNN), Long/Short Term Memories (LSTM), and Generative Adversarial Networks (GAN), and their applications. The methods and platforms for the implementation and evaluation of deep learning systems would be discussed. Furthermore, learners will practise employing deep learning to deal with a few applied examples.
In this course, we will address the what, why and how of deep learning. What is deep learning? Why do we need deep learning? And how do we apply and harness the benefits of deep learning in business cases? We will focus on the three popular deep learning algorithms, namely Convolutional Neural Networks (CNN), Long/Short Term Memories (LSTM), and Generative Adversarial Networks (GAN), and their applications. The methods and platforms for the implementation and evaluation of deep learning systems would be discussed. Furthermore, learners will practise employing deep learning to deal with a few applied examples.
Entry Requirements
Basic knowledge of machine learning and Python programming
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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