APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Perceptron
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RNN
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CNN
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Fully connected neural network
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Detailed explanation-1: -Convolutional Neural Networks (CNNs) is the most popular neural network model being used for image classification problem. The big idea behind CNNs is that a local understanding of an image is good enough.
Detailed explanation-2: -Conclusion. Thus, in this blog, we discussed how to use image classification in Machine Learning by implementing four common ML algorithms including Random Forest, KNN, Decision Tree, and Naive Bayes classifier. Due to their poor accuracies, Deep learning is preferred for image classification tasks.
Detailed explanation-3: -Deep Learning Algorithms for Image Processing and Image Classification. Convolutional neural networks (CNNs) are best suited for image processing and image classification problems as the convolution operation allows processing the images with the help of different filter functions.