Introduction to Deep Learning
Training Provider: SINGAPORE MANAGEMENT UNIVERSITY
Course Reference: TGS-2024048928
S$660
Original: S$2,200
Save S$1,540
About This Course
In this module, participants will be introduced to the fundamentals of deep learning using the PyTorch framework. The module spans over 15 hours and is divided into four sessions, each focusing on different aspects of deep learning. Participants will learn about the concepts, applications, and differences between deep learning and traditional machine learning approaches. They will also dive into the practical aspects of building and training neural networks using PyTorch, starting from basic linear regression to more complex deep neural networks.
What You'll Learn
- Explore the core concepts of deep learning, and applications of deep learning in the real world
- Describe how to setup a PyTorch environment, to define and train a simple neural network
- Implement a basic linear regression model using PyTorch, which include the training process, and the use of loss functions to measure the model’s performance
- Explain what perceptrons are and describe how multi-layer perceptrons are used to build neural networks
- Describe how to setup a PyTorch environment, to define and train a simple neural network
- Implement a basic linear regression model using PyTorch, which include the training process, and the use of loss functions to measure the model’s performance
- Explain what perceptrons are and describe how multi-layer perceptrons are used to build neural networks
Entry Requirements
Nil
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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