Traktor/source/NN/model.py

import torch.nn as nn
import torch
import torch.nn.functional as F


class Neural_Network_Model(nn.Module):
    def __init__(self, num_classes=5,hidden_layer1 = 100,hidden_layer2 = 100):
        super(Neural_Network_Model, self).__init__()
        self.fc1 = nn.Linear(150*150*3,hidden_layer1)
        self.fc2 = nn.Linear(hidden_layer1,hidden_layer2)
        self.out = nn.Linear(hidden_layer2,num_classes)
# two hidden layers

    def forward(self, x):
        x = x.view(-1, 150*150*3)
        x = self.fc1(x)
        x = torch.relu(x)
        x = self.fc2(x)
        x = torch.relu(x)
        x = self.out(x)
        return F.log_softmax(x, dim=-1)