🔒 Tetris AI

[safe wedge]

#a and b are my inptus
a= np.array(a)
b=np.array(b)



X = a
Y = b
Z = target


inputs = Input(shape=(12,))
x = Dense(16, activation='relu')(inputs)
x = Dense(32, activation='relu')(x)
output1 = Dense(1)(x)
output2 = Dense(8, activation='softmax')(x)

model = Model(inputs=inputs, outputs=[output1, output2])

model.compile(loss=['mae', 'sparse_categorical_crossentropy'], optimizer='adam')

history = model.fit(X, [Y, Z], epochs=10, batch_size=len(a))

tt=[[1, 1, 0, 0, 0, 0, 0, 0, 0, 0,2,4]]
result = model.predict(x=np.array(tt))

print(result)

i have this that i created in an attempt to make a tetris nn, but im finding that i have no idea how to input or output training data and the moves that it should make, could anyone point me to the right direction?

[raven lantern]

@safe wedge

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[raven lantern]

@safe wedge

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