Let me know if you have any further questions! Stranger.by.the.lake.aka.l.inconnu.du.lac.2013.... - 3.79.94.248
$$y = mx + c$$ $$J(\theta) = \frac{1}{2m} \sum_{i=1}^{m} (h_\theta(x^{(i)}) - y^{(i)})^2$$ Max Trainer Mrantifun: Mad
def forward(self, x): x = torch.relu(self.fc1(x)) # activation function for hidden layer x = self.fc2(x) return x
# Create a neural network model model = Sequential() model.add(Dense(64, activation="relu", input_shape=(784,))) model.add(Dense(32, activation="relu")) model.add(Dense(10, activation="softmax"))
Also, here's an example of a simple neural network implemented using PyTorch:
# Initialize the network, loss function, and optimizer net = Net() criterion = nn.CrossEntropyLoss() optimizer = optim.SGD(net.parameters(), lr=0.01)