Creating a Machine Learning Auto-Shoot bot for CS:GO. Part 5.

model = Sequential([
keras.Input(shape=(28, 28, 3)),
layers.Conv2D(2, kernel_size=(3, 3), activation=”relu”),
layers.MaxPooling2D(pool_size=(2, 2)),
layers.Conv2D(4, kernel_size=(3, 3), activation=”relu”),
layers.MaxPooling2D(pool_size=(2, 2)),
layers.Conv2D(8, kernel_size=(3, 3), activation=”relu”),
layers.GlobalAveragePooling2D(),
layers.Flatten(),
layers.Dense(1, activation=”sigmoid”),
])
np.set_printoptions(threshold=sys.maxsize)
for layer in model.layers:
if layer.get_weights() != []:
f = open("view.txt”, “w”)
if f:
f.write(str(layer.get_weights()))
f.close()
np.savetxt(“w”, layer.get_weights()[0].flatten(), delimiter=”,”)
np.savetxt(“b”, layer.get_weights()[1].flatten(), delimiter=”,”)
#define SCAN_VARIANCE 3
#define SCAN_DELAY 10000
#define ACTIVATION_SENITIVITY 0.75
#define REPEAT_ACTIVATION 2
#define FIRE_RATE_LIMIT_MS 800
(96x192) Pesky counter-terrorists!

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