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  • IAS
    Members: $200.00
    IEEE Members: $300.00
    Non-members: $500.00
    Pages/Slides: 2
03 Feb 2025

This course offers an in-depth exploration of advanced deep learning techniques, with a focus on the foundational principles and cutting-edge applications of neural networks. It begins with an overview of neural networks, including backpropagation and computational graphs, and progresses to advanced architectures such as convolutional (CNN) and recurrent neural networks (RNN). Building on this foundation, the course delves into transformer models, examining their architecture, including encoder and decoder components, and their role in solving complex problems across various domains. Participants will also explore key adaptations of transformers, gaining insight into their flexibility and effectiveness. The course culminates in a practical case study, allowing participants to apply the learned concepts to a real-world scenario, solidifying their understanding of advanced deep learning techniques. Towards the end of the course, each participant will receive a certificate from IEEE IAS This course offers an in-depth exploration of advanced deep learning techniques, with a focus on the foundational principles and cutting-edge applications of neural networks. It begins with an overview of neural networks, including backpropagation and computational graphs, and progresses to advanced architectures such as convolutional (CNN) and recurrent neural networks (RNN). Building on this foundation, the course delves into transformer models, examining their architecture, including encoder and decoder components, and their role in solving complex problems across various domains. Participants will also explore key adaptations of transformers, gaining insight into their flexibility and effectiveness. The course culminates in a practical case study, allowing participants to apply the learned concepts to a real-world scenario, solidifying their understanding of advanced deep learning techniques. Towards the end of the course, each participant will receive a certificate from IEEE IAS Duration: 30 hours

Primary Committee:
IAS Education Committee
Sponsor Committees:
IAS Education Committee

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