diff --git a/sknn/backend/lasagne/mlp.py b/sknn/backend/lasagne/mlp.py
index 1e1cfbe..3cbee3d 100644
--- a/sknn/backend/lasagne/mlp.py
+++ b/sknn/backend/lasagne/mlp.py
@@ -283,9 +283,9 @@ def _array_to_mlp(self, array, nn):
             ws = tuple(layer.W.shape.eval())
             assert ws == weights.shape, "Layer weights shape mismatch: %r != %r" %\
                                         (ws, weights.shape)
-            layer.W.set_value(weights)
+            layer.W.set_value(weights.astype(theano.config.floatX))
 
             bs = tuple(layer.b.shape.eval())
             assert bs == biases.shape, "Layer biases shape mismatch: %r != %r" %\
                                        (bs, biases.shape)
-            layer.b.set_value(biases)
+            layer.b.set_value(biases.astype(theano.config.floatX))
diff --git a/sknn/tests/test_data.py b/sknn/tests/test_data.py
index 26de705..8f0a6cf 100644
--- a/sknn/tests/test_data.py
+++ b/sknn/tests/test_data.py
@@ -60,8 +60,8 @@ def test_SetLayerParamsList(self):
         nn.set_parameters([(weights, biases)])
         
         p = nn.get_parameters()
-        assert_true((p[0].weights == weights).all())
-        assert_true((p[0].biases == biases).all())
+        assert_true((p[0].weights.astype('float32') == weights.astype('float32')).all())
+        assert_true((p[0].biases.astype('float32') == biases.astype('float32')).all())
 
     def test_LayerParamsSkipOneWithNone(self):
         nn = MLPR(layers=[L("Sigmoid", units=32), L("Linear", name='abcd')])
@@ -73,8 +73,8 @@ def test_LayerParamsSkipOneWithNone(self):
         nn.set_parameters([None, (weights, biases)])
         
         p = nn.get_parameters()
-        assert_true((p[1].weights == weights).all())
-        assert_true((p[1].biases == biases).all())
+        assert_true((p[1].weights.astype('float32') == weights.astype('float32')).all())
+        assert_true((p[1].biases.astype('float32') == biases.astype('float32')).all())
 
     def test_SetLayerParamsDict(self):
         nn = MLPR(layers=[L("Sigmoid", units=32), L("Linear", name='abcd')])
@@ -86,5 +86,5 @@ def test_SetLayerParamsDict(self):
         nn.set_parameters({'abcd': (weights, biases)})
         
         p = nn.get_parameters()
-        assert_true((p[1].weights == weights).all())
-        assert_true((p[1].biases == biases).all())
+        assert_true((p[1].weights.astype('float32') == weights.astype('float32')).all())
+        assert_true((p[1].biases.astype('float32') == biases.astype('float32')).all())