Freaks City

Import Dependencies import torch import torch.nn as nn from torch.utils.data import Dataset, DataLoader, random_split Training Configuration Setup Customize these hyperparameters to tune model performance and ensure reproducibility. device = "cuda" if torch.cuda.is_available() else "cpu" training_config = { "random ...

Creating Custom Datasets When working with standard datasets like MNIST, data is prepackaged and ready for use. However, for domain-specific applications, creating custom datasets becomes essential. The process involves mapping image paths to corresponding labels through a dedicated function that returns features and their associated labels. To ...