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automatic-mixed-precision

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sdamadi / image-classification

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Comprehensive image classification for training multilayer perceptron (MLP), LeNet, LeNet5, conv2, conv4, conv6, VGG11, VGG13, VGG16, VGG19 with batch normalization, ResNet18, ResNet34, ResNet50, MobilNetV2 on MNIST, CIFAR10, CIFAR100, and ImageNet1K.

training logging pytorch hyperparameters mnist vgg sgd imagenet image-classification tensorboard resnet cifar adam distributed-training pytorch-implementation tensorboard-pytorch learning-rate-scheduling automatic-mixed-precision learning-rate-warmup small-convolutional
  • Updated Oct 5, 2021
  • Python

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