diff --git a/exp/keras/train.py b/exp/keras/train.py
new file mode 100644
--- /dev/null
+++ b/exp/keras/train.py
@@ -0,0 +1,19 @@
+from keras.layers import Conv2D,Dropout,Dense,Flatten
+from keras.models import Sequential
+
+
+model = Sequential([
+	Flatten(input_shape=(96,96)),
+	Dense(128, activation="relu"),
+	Dropout(0.1),
+	Dense(64, activation="relu"),
+	Dense(30)
+])
+
+model.compile(
+	optimizer='adam',
+	loss='mse',
+	metrics=['mae','accuracy']
+)
+
+model.fit(X_train,y_train,epochs = 500,batch_size = 128,validation_split = 0.2)