这是一个美国的PyTorch图像识别Assignment代写，需要生成报告

Write about the applications, and explain the motive of selecting this application in 5-7 sentences.

Explain the dataset, You should mention the size of the dataset, and the type of images of the datasets, and how many
images for the training and for the testing. For Example,CIFAR-10 is a widely used dataset that contains 50,000 RGB
images of 32 × 32 pixels for training and 10,000 for testing with 10 different classes.

What is the model you are using, and the storage cost of every layers. For example, AlexNet neural network model is a
high-capacity model that consists of five convolutional layers and three fully connected layers.

1. Use Netron https://netron.app/ to show the model architecture.
2. Use PyotrchVis https://github.com/szagoruyko/pytorchviz to plot the model architecture.
3. Use tensorboard with pytorch https://pytorch.org/docs/stable/tensorboard.html