diff --git a/layer/lstm.go b/layer/lstm.go
index 472f357..b014f95 100644
--- a/layer/lstm.go
+++ b/layer/lstm.go
@@ -9,7 +9,7 @@ import (
 
 type LSTMOptionFunc func(*LSTMT)
 
-func LSTMWithSource(s randv2.Source) LSTMOptionFunc {
+func WithLSTMSource(s randv2.Source) LSTMOptionFunc {
 	return func(l *LSTMT) {
 		l.s = s
 	}
diff --git a/layer/lstm_test.go b/layer/lstm_test.go
index b7bc88d..5730b9a 100644
--- a/layer/lstm_test.go
+++ b/layer/lstm_test.go
@@ -9,7 +9,7 @@ import (
 )
 
 func ExampleLSTM() {
-	l := L.LSTM(2, L.LSTMWithSource(rand.Const()))
+	l := L.LSTM(2, L.WithLSTMSource(rand.Const()))
 
 	x := variable.New(1)
 	y := l.Forward(x)
@@ -37,7 +37,7 @@ func ExampleLSTM() {
 }
 
 func ExampleLSTM_backward() {
-	l := L.LSTM(2, L.LSTMWithSource(rand.Const()))
+	l := L.LSTM(2, L.WithLSTMSource(rand.Const()))
 
 	x := variable.New(1)
 	y := l.First(x)
diff --git a/layer/rnn.go b/layer/rnn.go
index e120e4e..0817d3a 100644
--- a/layer/rnn.go
+++ b/layer/rnn.go
@@ -9,7 +9,7 @@ import (
 
 type RNNOptionFunc func(*RNNT)
 
-func RNNWithSource(s randv2.Source) RNNOptionFunc {
+func WithRNNSource(s randv2.Source) RNNOptionFunc {
 	return func(l *RNNT) {
 		l.s = s
 	}
diff --git a/layer/rnn_test.go b/layer/rnn_test.go
index 922389b..abac837 100644
--- a/layer/rnn_test.go
+++ b/layer/rnn_test.go
@@ -9,7 +9,7 @@ import (
 )
 
 func ExampleRNN() {
-	l := L.RNN(2, L.RNNWithSource(rand.Const()))
+	l := L.RNN(2, L.WithRNNSource(rand.Const()))
 
 	x := variable.New(1)
 	y := l.Forward(x)
@@ -27,7 +27,7 @@ func ExampleRNN() {
 }
 
 func ExampleRNN_backward() {
-	l := L.RNN(2, L.RNNWithSource(rand.Const()))
+	l := L.RNN(2, L.WithRNNSource(rand.Const()))
 
 	x := variable.New(1)
 	y := l.First(x)
diff --git a/model/lstm.go b/model/lstm.go
index fd046f0..35129a0 100644
--- a/model/lstm.go
+++ b/model/lstm.go
@@ -9,7 +9,7 @@ import (
 
 type LSTMOptionFunc func(*LSTM)
 
-func LSTMWithSource(s randv2.Source) LSTMOptionFunc {
+func WithLSTMSource(s randv2.Source) LSTMOptionFunc {
 	return func(l *LSTM) {
 		l.s = s
 	}
@@ -32,7 +32,7 @@ func NewLSTM(hiddenSize, outSize int, opts ...LSTMOptionFunc) *LSTM {
 	}
 
 	lstm.Layers = append(lstm.Layers, []L.Layer{
-		L.LSTM(hiddenSize, L.LSTMWithSource(lstm.s)),
+		L.LSTM(hiddenSize, L.WithLSTMSource(lstm.s)),
 		L.Linear(outSize, L.WithSource(lstm.s)),
 	}...)
 
diff --git a/model/lstm_test.go b/model/lstm_test.go
index 3a4ffab..1a1f2b1 100644
--- a/model/lstm_test.go
+++ b/model/lstm_test.go
@@ -21,7 +21,7 @@ func ExampleLSTM() {
 }
 
 func ExampleLSTM_backward() {
-	m := model.NewLSTM(1, 1, model.LSTMWithSource(rand.Const()))
+	m := model.NewLSTM(1, 1, model.WithLSTMSource(rand.Const()))
 
 	x := variable.New(1, 2)
 	y := m.Forward(x)
diff --git a/model/mlp.go b/model/mlp.go
index 7d1775a..31ae296 100644
--- a/model/mlp.go
+++ b/model/mlp.go
@@ -15,13 +15,13 @@ type MLPOpts struct {
 
 type MLPOptionFunc func(*MLP)
 
-func MLPWithSource(s randv2.Source) MLPOptionFunc {
+func WithMLPSource(s randv2.Source) MLPOptionFunc {
 	return func(l *MLP) {
 		l.s = s
 	}
 }
 
-func MLPWithActivation(activation Activation) MLPOptionFunc {
+func WithMLPActivation(activation Activation) MLPOptionFunc {
 	return func(l *MLP) {
 		l.Activation = activation
 	}
diff --git a/model/mlp_test.go b/model/mlp_test.go
index 3fc9dd8..4619e22 100644
--- a/model/mlp_test.go
+++ b/model/mlp_test.go
@@ -24,8 +24,8 @@ func ExampleMLP() {
 
 func ExampleMLP_backward() {
 	m := model.NewMLP([]int{5, 1},
-		model.MLPWithSource(rand.Const()),
-		model.MLPWithActivation(F.ReLU),
+		model.WithMLPSource(rand.Const()),
+		model.WithMLPActivation(F.ReLU),
 	)
 
 	x := variable.New(1, 2)
@@ -45,8 +45,8 @@ func ExampleMLP_backward() {
 
 func ExampleMLP_cleargrads() {
 	m := model.NewMLP([]int{5, 1},
-		model.MLPWithSource(rand.Const()),
-		model.MLPWithActivation(F.ReLU),
+		model.WithMLPSource(rand.Const()),
+		model.WithMLPActivation(F.ReLU),
 	)
 
 	x := variable.New(1, 2)