Added guide to readme

examples/readme_example/convolutional_neural_network_with_images.py

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+from manim import *
+from PIL import Image
+import numpy as np
+
+from manim_ml.neural_network import Convolutional2DLayer, FeedForwardLayer, NeuralNetwork, ImageLayer
+
+# Make the specific scene
+config.pixel_height = 700
+config.pixel_width = 1900
+config.frame_height = 7.0
+config.frame_width = 7.0
+
+class CombinedScene(ThreeDScene):
+    def construct(self):
+        # Make nn
+        image = Image.open("../../assets/mnist/digit.jpeg")
+        numpy_image = np.asarray(image)
+        # Make nn
+        nn = NeuralNetwork([
+                ImageLayer(numpy_image, height=1.5),
+                Convolutional2DLayer(1, 7, filter_spacing=0.32),
+                Convolutional2DLayer(3, 5, 3, filter_spacing=0.32),
+                Convolutional2DLayer(5, 3, 3, filter_spacing=0.18),
+                FeedForwardLayer(3),
+                FeedForwardLayer(3),
+            ],
+            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)