Automated Inspection with Computer Vision/

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Quiz: CNN Building Blocks and CNN for Classification

Test your knowledge of CNN building blocks, and how to use CNN for a classification task.

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CNN Building Blocks and CNN for Classification

(Select all that apply.) The shape of the input tensor to a convolution layer is (N, 3, 32, 32). Which construction call would be suitable for this convolution layer?

conv = torch.nn.Conv2d(in_channels=32, out_channels=3, kernel_size=(3, 3))

conv = torch.nn.Conv2d(in_channels=3, out_channels=32, kernel_size=(5, 5))

conv = torch.nn.Conv2d(in_channels=3, out_channels=64, kernel_size=(3, 3))

conv = torch.nn.Conv2d(in_channels=1, out_channels=3, kernel_size=(5, 5))

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Introduction

Getting Started with Images

Image I/O and Annotations

Color Spaces and Thresholding

Convert Color Spaces, Threshold

Smoothing and Masking

Detection of Features

Image Registration

3D Vision

Getting Started with Neural Networks

Convolutional Neural Networks

Project: Create and Train a CNN for Classification

Object Detection and Semantic Segmentation

Cats vs Dogs Classification with Convolutional Neural Networks

Dataset Annotation

Final Remarks

Recognize Handwritten Digits Using a Deep Neural Network

Quiz: CNN Building Blocks and CNN for Classification