Description
Design, implementation, and analysis of deep learning architectures, from an overview of machine learning to recent advancements in deep learning. Practical applications to areas such as computer vision, signal processing, or networking.
Reference text in its original language
Design, implementation, and analysis of deep learning architectures, from an overview of machine learning to recent advancements in deep learning. Practical applications to areas such as computer vision, signal processing, or networking.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/grad/courses/ITEC/