diff --git a/tests/flowerGardenData b/tests/flowerGardenData
new file mode 100755
index 0000000..ac5a67b
Binary files /dev/null and b/tests/flowerGardenData differ
diff --git a/tests/flowerGardenLearningVisualization.py b/tests/flowerGardenLearningVisualization.py
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index 0000000..1ebc9d1
--- /dev/null
+++ b/tests/flowerGardenLearningVisualization.py
@@ -0,0 +1,17 @@
+#!/bin/python3
+from sys import path
+path.insert(1, "..")
+from sobek.network import network
+import pickle
+
+with open("flowerGardenData", "rb") as file:
+    data = pickle.load(file)
+
+trainPoints = data[0]
+trainLabels = data[1]
+
+myNetwork = network(2, 16, 1)
+
+learningRate = 5.0
+
+myNetwork.train(trainPoints, trainLabels, learningRate, batchSize=10, epochs=1000, visualize=True)
diff --git a/tests/generateSobekFlowerGarden.py b/tests/generateSobekFlowerGarden.py
new file mode 100755
index 0000000..dc9a57c
--- /dev/null
+++ b/tests/generateSobekFlowerGarden.py
@@ -0,0 +1,34 @@
+#!/bin/python3
+import random
+import numpy as np
+import math
+import pickle
+
+trainPoints = []
+trainLabels = []
+
+random.seed(1216513)
+
+for i in range(100):
+    x = random.randint(-50, 50)
+    y = random.randint(-50, 50)
+
+    distance = math.sqrt(x**2 + y**2)
+
+    if (distance < 10 or 20 < distance < 30):
+        trainLabels.append(np.ones(1))
+    else :
+        trainLabels.append(np.zeros(1))
+
+    x = (x+50)/100
+    y = (y+50)/100
+
+    trainPoints.append(np.array([x, y]))
+
+print(trainPoints[1])
+print(trainLabels[1])
+
+data = [trainPoints, trainLabels]
+
+with open("flowerGardenData", "wb") as file:
+    pickle.dump(data, file)
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