Machine Learning for Engineering & Science Applications | IIT Madras - #50 Types of Convolution | Machine Learning for Engineering & Science Applications
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What you'll learn
Understand the historical development and foundational concepts of artificial intelligence.
Gain proficiency in applying machine learning techniques to engineering and science problems.
Develop skills in using linear algebra and calculus for machine learning modeling.
Learn to implement and optimize machine learning algorithms using Python packages.
Welcome to 'Machine Learning for Engineering & Science Applications' course !
This lecture discusses the different types of convolution that are typically used in CNNs. Dilated and transpose convolutions are often used in deep networks and in networks that have an encoder-decoder architecture.
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#CNN #DilatedConvolution #TransposeConvolution #EncoderDecoder
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