我试图在kerastuner==1.0.1
的帮助下训练我的网络,但我遇到了RuntimeError: Too many failed attempts to build model
,似乎无法修复它。有人能帮我解决这个问题吗?谢谢大家!
我的对流网络模型:
model = keras.models.Sequential()
model.add(Conv2D(hp.Int('input_units',
min_value=32,
max_value=256,
step=32), (3, 3), input_shape=x_train.shape[1:]))
model.add(Activation('relu'))
model.add(MaxPooling2D(pool_size=(2, 2)))
for i in range(hp.Int('n_layers', 1, 4)):
model.add(Conv2D(hp.Int(f'conv_{i}_units',
min_value=32,
max_value=256,
step=32), (3, 3)))
model.add(Activation('relu'))
model.add(Flatten())
model.add(Dense(10))
model.add(Activation("softmax"))
model.compile(optimizer="adam",
loss="sparse_categorical_crossentropy",
metrics=["accuracy"])
目前没有回答
相关问题 更多 >
编程相关推荐