You need to reshape as (50000, 10). 10 classes in layer with softmax activation function = cifar10 number of classes ... <看更多>

The CIFAR10 dataset consists of 60000 32x32 colour images in 10 classes, ... In order to fix this, we will need to reshape the stack. ... <看更多>

images = np.reshape(images, (10000, 3, 32, 32)). labels = dict['labels']. imagearray = mx.nd.array(images). labelarray = mx.nd.array(labels). ... <看更多>

Don't train for more than 10 epochs. ... plt.imshow(example.reshape((28,28))) ... Use PyTorch to load the CIFAR10 dataset (its OK if you need to google ... ... <看更多>

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... may need to transpose some of the dimensions and/or reshape them differently. The original cifar 10 data is a little strange in that the ... ... <看更多>