Ferienprogramm KI der Fachhochschule Südwestfalen für die Osterferien 2026.
Siehe MNIST Notebook
- Melde Dich sich unter ki.fh-swf.de/jupyterhub an. Die Zugangsdaten erhälst Du im Kurs.
- Klicke danach auf diesen Link
Code für das CNN:
class CNN(nn.Module):
def __init__(self):
super(CNN, self).__init__()
self.conv1 = nn.Conv2d(1, 32, kernel_size=3)
self.conv2 = nn.Conv2d(32, 64, kernel_size=3)
self.fc1 = nn.Linear(64*5*5, 128)
self.fc2 = nn.Linear(128, 10)
self.relu = nn.ReLU()
self.pool = nn.MaxPool2d(2, 2)
def forward(self, x):
x = self.pool(self.relu(self.conv1(x)))
x = self.pool(self.relu(self.conv2(x)))
x = x.view(-1, 64*5*5)
x = self.relu(self.fc1(x))
x = self.fc2(x)
return xCode für das ResNet:
import torch
import torch.nn as nn
import torch.nn.functional as F
class ResNetBlock(nn.Module):
def __init__(self, in_channels, out_channels):
super(ResNetBlock, self).__init__()
self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1)
self.bn1 = nn.BatchNorm2d(out_channels)
self.conv2 = nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1)
self.bn2 = nn.BatchNorm2d(out_channels)
self.pool = nn.MaxPool2d(2, 2)
self.shortcut = nn.Sequential()
if in_channels != out_channels:
self.shortcut = nn.Conv2d(in_channels, out_channels, kernel_size=1)
def forward(self, x):
shortcut = self.shortcut(x)
x = F.relu(self.bn1(self.conv1(x)))
x = self.bn2(self.conv2(x))
x += shortcut # Residual Connection
x = F.relu(x)
return x
class ResNetCNN(nn.Module):
def __init__(self):
super(ResNetCNN, self).__init__()
self.layer1 = ResNetBlock(1, 32)
self.layer2 = ResNetBlock(32, 64)
self.layer3 = ResNetBlock(64, 128)
self.fc1 = nn.Linear(128 * 3 * 3, 256) # Überprüfe die Dimensionen
self.fc2 = nn.Linear(256, 10)
self.dropout = nn.Dropout(0.5)
def forward(self, x):
x = self.layer1(x)
x = self.layer2(x)
x = self.layer3(x)
x = F.adaptive_avg_pool2d(x, (3, 3))
x = x.view(-1, 128 * 3 * 3)
x = self.dropout(F.relu(self.fc1(x)))
x = self.fc2(x)
return xSiehe Ordner SnakeAI
Um den Code auf Deinen Rechner zu ziehen, öffne ein Terminal und gebe folgende Befehle ein
git clone https://github.com/fhswf/FerienkursKI.git FerienkursKI_2026Öffne dann vscode:
code FerienkursKI_2026Code für den erweiterten Zustand:
def get_state(self, game):
head = game.snake[0]
body_segments = game.snake[1:]
point_l = Point(head.x - 20, head.y)
point_r = Point(head.x + 20, head.y)
point_u = Point(head.x, head.y - 20)
point_d = Point(head.x, head.y + 20)
dir_l = game.d
9756
irection == Direction.LEFT
dir_r = game.direction == Direction.RIGHT
dir_u = game.direction == Direction.UP
dir_d = game.direction == Direction.DOWN
# Überprüfen der Nähe von Körpergliedern
body_near_head = {
"left": any(segment.x == point_l.x and segment.y == point_l.y for segment in body_segments),
"right": any(segment.x == point_r.x and segment.y == point_r.y for segment in body_segments),
"up": any(segment.x == point_u.x and segment.y == point_u.y for segment in body_segments),
"down": any(segment.x == point_d.x and segment.y == point_d.y for segment in body_segments),
}
# Gefahr des Spiralens pro Richtung
spiral_risk = {
"left": (dir_u and body_near_head["up"]) + (dir_d and body_near_head["down"]),
"right": (dir_u and body_near_head["up"]) + (dir_d and body_near_head["down"]),
"up": (dir_l and body_near_head["left"]) + (dir_r and body_near_head["right"]),
"down": (dir_l and body_near_head["left"]) + (dir_r and body_near_head["right"]),
}
in_danger_of_spiral = {
"left": spiral_risk["left"] > 0,
"right": spiral_risk["right"] > 0,
"up": spiral_risk["up"] > 0,
"down": spiral_risk["down"] > 0
}
state = [
# Danger straight
(dir_r and game.is_collision(point_r)) or
(dir_l and game.is_collision(point_l)) or
(dir_u and game.is_collision(point_u)) or
(dir_d and game.is_collision(point_d)),
# Danger right
(dir_u and game.is_collision(point_r)) or
(dir_d and game.is_collision(point_l)) or
(dir_l and game.is_collision(point_u)) or
(dir_r and game.is_collision(point_d)),
# Danger left
(dir_d and game.is_collision(point_r)) or
(dir_u and game.is_collision(point_l)) or
(dir_r and game.is_collision(point_u)) or
(dir_l and game.is_collision(point_d)),
# Move direction
dir_l,
dir_r,
dir_u,
dir_d,
# Food location
game.food.x < game.head.x,
game.food.x > game.head.x,
game.food.y < game.head.y,
game.food.y > game.head.y,
# New state for spiral risks (for directions)
in_danger_of_spiral["left"],
in_danger_of_spiral["right"],
in_danger_of_spiral["up"],
in_danger_of_spiral["down"]
]
return np.array(state, dtype=int)Kopf separat malen:
# draw head
pygame.draw.rect(self.display, GREEN, pygame.Rect(
self.head.x, self.head.y, BLOCK_SIZE, BLOCK_SIZE))
# draw snake body
for pt in self.snake[1:]:
pygame.draw.rect(self.display, BLUE1, pygame.Rect(
pt.x, pt.y, BLOCK_SIZE, BLOCK_SIZE))
pygame.draw.rect(self.display, BLUE2,
pygame.Rect(pt.x+4, pt.y+4, 12, 12))Am Rand "teleportieren":
# Überprüfen, ob der Schlangenkopf den Rand überschreitet
if self.head.x > self.w - BLOCK_SIZE:
self.head = Point(0, self.head.y) # Links erscheinen
elif self.head.x < 0:
self.head = Point(self.w - BLOCK_SIZE, self.head.y) # Rechts erscheinen
if self.head.y > self.h - BLOCK_SIZE:
self.head = Point(self.head.x, 0) # Oben erscheinen
elif self.head.y < 0:
self.head = Point(self.head.x, self.h - BLOCK_SIZE) # Unten erscheinen- Melde Dich sich unter [ki.fh-swf.de/jupyterhub](https://login.ki.fh-swf.de/new-jupyterhub an. Die Zugangsdaten erhälst Du im Kurs.
- Klicke danach auf diesen Link
