def train_simple_fc_net():
nn = Net()
nn.add_rank3_input_layer((1, 28, 28))
nn.add_flatten_layer()
nn.add_fc_layer(100, "relu")
nn.add_fc_layer(10, "relu")
nn.add_softmax_layer()
run_training(nn, 0.1, 10)
def train_one_layer_conv_net():
nn = Net()
nn.add_rank3_input_layer((1, 28, 28))
nn.add_conv_layer(
num_out_layers = 20,
kernel_height = 3,
kernel_width = 3,
activation_fn_name = "relu"
)
nn.add_max_pool_layer()
nn.add_flatten_layer()
nn.add_fc_layer(100, "relu")
nn.add_fc_layer(10, "relu")
nn.add_softmax_layer()
run_training(nn, 1.0, 10)
