Daniel Voigt Godoy - Deep Learning with PyTorch Step-by-Step A Beginner’s Guide-leanpub

given chapter are imported at its very beginning. For this chapter, we’ll need the
following imports:
import numpy as np
from PIL import Image
from copy import deepcopy
import torch
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader, TensorDataset, random_split
from torchvision.transforms import Compose, ToTensor, Normalize, \
ToPILImage, Resize
from torchvision.datasets import ImageFolder
from torch.optim.lr_scheduler import StepLR, ReduceLROnPlateau, \
MultiStepLR, CyclicLR, LambdaLR
from stepbystep.v2 import StepByStep
from data_generation.rps import download_rps
Rock, Paper, Scissors…
…Lizard, Spock! The "extended" version of the game was
displayed in the "The Lizard-Spock Expansion" episode of The Big
Bang Theory series, and was developed by Sam Kass and Karen
Bryla. To learn more about the extended version, visit Sam Kass'
page [96] about the game.
Trivia aside, I guess you’re probably a bit bored with the image dataset we’ve been
using so far, right? Well, at least, it wasn’t MNIST! But it is time to use a different
dataset: Rock Paper Scissors (unfortunately, no lizard or Spock).
Rock, Paper, Scissors… | 417