import flax
from flax import linen as nn

# Use FLAX for research and experimental projects
class MyModel(nn.Module):
    hidden_dim: int

    def setup(self):
        self.dense = nn.Dense(self.hidden_dim)
        self.output = nn.Dense(10)

    def __call__(self, inputs):
        x = nn.relu(self.dense(inputs))
        return self.output(x)

model = MyModel(hidden_dim=64)

# Train and evaluate the model
optimizer = flax.optim.Adam(learning_rate=0.001).create(model)
for batch in dataset:
    optimizer = optimizer.train_step(batch)

        __
        __