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
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Updated
Oct 5, 2021 - Python