Ladder - Tutorial: Cifar10
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Image Classification Download the CIFAR-10 dataset (see https://www.cs.toronto.edu/ kriz/cifar.html), and read the raw image data into a numpy array, or download the CIFAR-10 dataset using the scikit-learn library. Randomly select 100 images from each of the 10 different classes, and save the selected result as a new numpy array. Randomly partition the data into a training set (60%) and a testing set (40%). Apply the training set to train different CNN models (for example, modify the number of l
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CIFAR on Instagram: "We are pleased to announce the launch of our first two AI safety Solution Networks under the Canadian AI Safety Institute Research Program at CIFAR. Each of these new programs will spend the next two years designing and implementing innovative solutions to address critical challenges in AI safety. Welcome to the following programs and their members to the CIFAR community 👏: 🧑‍⚖️ Safeguarding Courts from Synthetic AI Content will work to address the growing prevalence of AI
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