#52 CNN Architecture | Part 2 | VGG Net | Machine Learning for Engineering & Science Applications
Welcome to 'Machine Learning for Engineering & Science Applications' course ! Get ready to explore the powerful VGG network architecture, specifically VGG-16, designed for image classification. We'll delve into the concept of blocks of convolutional layers and understand the benefits of using a series of convolutional layers. Discover how this architecture achieves a larger receptive field on the input, enabling the network to capture more context from images. NPTEL Courses permit certifications that can be used for Course Credits in Indian Universities as per the UGC and AICTE notifications. To understand various certification options for this course, please visit https://nptel.ac.in/courses/106106198 #CNNArchitecture #VGGNet #ReceptiveField #ConvolutionalLayers
#53 CNN Architecture | Part 3 | GoogleNet | Machine Learning for Engineering & Science Applications
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#54 CNN Architecture | Part 4 | ResNet | Machine Learning for Engineering & Science Applications
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#50 Types of Convolution | Machine Learning for Engineering & Science Applications
#55 CNN Architecture | Part 5 | DenseNet | Machine Learning for Engineering & Science Applications
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