Question

我在这里遇到错误：

def train_model(training_data, model=False):

     X = np.array([i[0] for i in training_data]).reshape(-1,len(training_data[0][0]),1)
     y = [i[1] for i in training_data]

     model = neural_network_model(input_size = len(X[0]))

     model.fit({'input': X}, {'targets': y}, n_epoch=4, 
               snapshot_step=500, show_metric=True,
               run_id='snek_learning')
     return model

这是training_data数组的制作方法：

for data in game_memory:
    if data[1] == 0: output = [1,0,0,0]
    elif data[1] == 1: output = [0,1,0,0]
    elif data[1] == 2: output = [0,0,1,0]
    elif data[1] == 1: output = [0,0,0,1]

    training_data.append([data[0], output])

我不确定我是否正确调整了形状，请帮助

编辑：创建game_memory：

    for _ in range(initial_games):
    score = 0
    game_memory = []
    prev_observation = []
    for _ in range(goal_steps):
        action = random.randrange(0,5)
        observation, reward, done = Next_Frame(action)
        if len(prev_observation) > 0 :
            game_memory.append([prev_observation, action])
        prev_observation = observation
        score=reward
        if done: break

其中observation和prev_observation始终是7个变量的列表
编辑2：
在传递到training_data之前，已打印train_model的10次迭代：

[False, False, False, True, False, True, False] [0, 0, 0, 1]                 
[False, False, False, True, False, True, False] [1, 0, 0, 0]              
[False, False, False, True, False, True, False] [0, 0, 1, 0]                
[False, False, False, True, False, True, False] [1, 0, 0, 0]                      
[False, False, False, True, False, True, False] [0, 1, 0, 0]                     
[False, False, False, True, False, True, False] [0, 0, 0, 1]                  
[False, False, False, True, False, True, False] [0, 0, 1, 0]                 
[False, False, False, True, False, True, False] [0, 1, 0, 0]                
[False, False, False, True, False, True, False] [0, 0, 0, 1]               
[False, False, False, True, False, False, True] [0, 1, 0, 0]

下一页编辑：
完整的错误日志：

    Traceback (most recent call last):
  File "c:/Users/Szymon/Documents/snake_network.py", line 273, in <module>
    model = train_model(training_data)
  File "c:/Users/Szymon/Documents/snake_network.py", line 266, in train_model
    model.fit({'input': X}, {'targets': y}, n_epoch=4, snapshot_step=500, show_metric=True, run_id='snek_learning')
  File "C:\Users\Szymon\Anaconda3\lib\site-packages\tflearn\models\dnn.py", line 216, in fit
    callbacks=callbacks)
  File "C:\Users\Szymon\Anaconda3\lib\site-packages\tflearn\helpers\trainer.py", line 339, in fit
    show_metric)
  File "C:\Users\Szymon\Anaconda3\lib\site-packages\tflearn\helpers\trainer.py", line 818, in _train
    feed_batch)
  File "C:\Users\Szymon\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 900, in run
    run_metadata_ptr)
  File "C:\Users\Szymon\Anaconda3\lib\site-packages\tensorflow\python\client\session.py", line 1104, in _run
    np_val = np.asarray(subfeed_val, dtype=subfeed_dtype)
  File "C:\Users\Szymon\Anaconda3\lib\site-packages\numpy\core\numeric.py", line 492, in asarray
    return array(a, dtype, copy=False, order=order)
ValueError: setting an array element with a sequence.

ValueError：使用序列设置数组元素。重塑

0 个答案: