Advanced Deep Learning
Training Provider: Republic Polytechnic
Course Reference: TGS-2023020738
S$279
Original: S$930
Save S$651
About This Course
By the end of the course, participants will be able to:
• Describe the common deep learning data types and model architectures
• Enhance datasets through data augmentation to improve model accuracy
• Apply transfer learning between models to achieve efficient results with less data and computation
• Train Generative Adversarial Networks (GAN’s) to create images
• Train and use autoencoder to detect anomaly
• Understand attention mechanism and its use in the Transformer model
• Use Automatic Machine Learning (autoML) frameworks to automate training of Deep Learning (DL) models
What You'll Learn
Artificial Intelligence continues to advance in unprecedented ways and deep learning has emerged as one of the most powerful and versatile approaches to solving complex many real-world problems today. With deep learning, computers can learn to recognize patterns and make decisions in previously impossible ways. From image and speech recognition to natural language processing and generative art, deep learning has transformed many industries and opened up new possibilities for innovation.
This course is designed to help participants learn concepts, and the design and application of advanced architectures of deep neural networks, such as Long-Short Term Memory (LSTM), Generative, Autoencoder and Attention mechanism to solve complex real-world problems.
By the end of this course, you will have a thorough understanding of advanced deep learning techniques and their applications. You will learn to design and train complex deep learning models and solve challenging real-world problems. Don't miss this opportunity to enhance your deep learning knowledge and skills. Register now and take the first steps towards becoming an expert in the field of deep learning!
This course is designed to help participants learn concepts, and the design and application of advanced architectures of deep neural networks, such as Long-Short Term Memory (LSTM), Generative, Autoencoder and Attention mechanism to solve complex real-world problems.
By the end of this course, you will have a thorough understanding of advanced deep learning techniques and their applications. You will learn to design and train complex deep learning models and solve challenging real-world problems. Don't miss this opportunity to enhance your deep learning knowledge and skills. Register now and take the first steps towards becoming an expert in the field of deep learning!
Entry Requirements
Proficiency in English
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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