Added guide to readme

examples/readme_example/max_pooling.py

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+from manim import *
+from PIL import Image
+import numpy as np
+
+from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer
+from manim_ml.neural_network.layers.max_pooling_2d import MaxPooling2DLayer
+from manim_ml.neural_network.neural_network import NeuralNetwork
+
+# Make the specific scene
+config.pixel_height = 1200
+config.pixel_width = 1900
+config.frame_height = 6.0
+config.frame_width = 6.0
+
+class MaxPoolingScene(ThreeDScene):
+
+    def construct(self):
+        # Make nn
+        nn = NeuralNetwork([
+                Convolutional2DLayer(1, 8),
+                Convolutional2DLayer(3, 6, 3),
+                MaxPooling2DLayer(kernel_size=2),
+                Convolutional2DLayer(5, 2, 2),
+            ],
+            layer_spacing=0.25,
+        )
+        # Center the nn
+        nn.move_to(ORIGIN)
+        self.add(nn)
+        # Play animation
+        forward_pass = nn.make_forward_pass_animation()
+        self.play(ChangeSpeed(forward_pass, speedinfo={}), run_time=10)
+        self.wait(1)