How to train Convolutional Neural Network (CNN) using Cifar-100 Dataset | CNN in Python
Convolutional Neural Network (CNN) is one of the most popular deep learning algorithms for image classification problems. It can extract useful features from an image and provides great accuracy because of it's powerful architectural design.
This video is about training CNN on the Cifar-100 dataset, one of the common datasets, used for classification problems that contain 100 classes of different living beings and real-world objects.
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