Training Slayer V740 By Bokundev High Quality

# Load dataset and create data loader dataset = MyDataset(data, labels) data_loader = DataLoader(dataset, batch_size=batch_size, shuffle=True)

def __len__(self): return len(self.data) training slayer v740 by bokundev high quality

# Initialize model, optimizer, and loss function model = SlayerV7_4_0(num_classes, input_dim) optimizer = optim.Adam(model.parameters(), lr=lr) criterion = nn.CrossEntropyLoss() # Load dataset and create data loader dataset

def __getitem__(self, idx): data = self.data[idx] label = self.labels[idx] return { 'data': torch.tensor(data), 'label': torch.tensor(label) } labels) data_loader = DataLoader(dataset