用keras構建R工作室的分類模型

Question

我想通過R stdio中的keras張量流創建分類模型，但我在下面得到一個錯誤。請問有人有線索嗎？這是我第一次使用keras或深度學習。由於

> set.seed(10) 
> ind <- sample(2, nrow(stdk), replace=TRUE, prob=c(0.80, 0.2)) 
> stdk.train <- stdk[ind==1, ] 
> stdk.test <- stdk[ind==2, ] 
> change.train <- stdk[ind==1, 5] 
> change.test <- stdk[ind==2, 5] 
> stdk.trainLabels <- to_categorical(change.train) 
> stdk.testLabels <- to_categorical(change.test) 
> 
> modelk <- keras_model_sequential() 
> modelk %>% 
+ layer_dense(units = 23, activation = 'relu', input_shape = c(40)) %>% 
+ layer_dense(units = 9, activation = 'softmax') 
> summary(modelk) 
Model 

    Layer (type)          Output Shape         Param #   
    ================================================================================================================ 
    dense_1 (Dense)         (None, 23)         943    
    ________________________________________________________________________________________________________________ 
    dense_2 (Dense)         (None, 9)         216 

總PARAMS：1159個 可訓練PARAMS：1159 非可訓練PARAMS：0

> get_layer(modelk, index = 1) 
Dense 
> modelk$layers 
[[1]] 
Dense 

[[2]] 
Dense 

> modelk$inputs 
[[1]] 
Tensor("dense_1_input:0", shape=(?, 40), dtype=float32) 

> modelk$outputs 
[[1]] 
Tensor("dense_2/Softmax:0", shape=(?, 9), dtype=float32) 

> modelk %>% compile(loss = 'categorical_crossentropy', optimizer = 'adam', metrics = c('accuracy') 
+) 
> modelk %>% fit(
+ stdk.train, 
+ stdk.trainLabels, 
+ epochs = 200, 
+ batch_size = 5 ) 
Error in py_call_impl(callable, dots$args, dots$keywords) : 
    ValueError: No data provided for "dense_1_input". Need data for each key in: ['dense_1_input'] 
Detailed traceback: 
    File "C:\Users\A\ANACON~1\envs\R-TENS~1\lib\site-packages\tensorflow\contrib\keras\python\keras\models.py", line 844, in fit 
    initial_epoch=initial_epoch) 
    File "C:\Users\A\ANACON~1\envs\R-TENS~1\lib\site-packages\tensorflow\contrib\keras\python\keras\engine\training.py", line 1406, in fit 
    batch_size=batch_size) 
    File "C:\Users\A\ANACON~1\envs\R-TENS~1\lib\site-packages\tensorflow\contrib\keras\python\keras\engine\training.py", line 1300, in _standardize_user_data 
    exception_prefix='model input') 
    File "C:\Users\A\ANACON~1\envs\R-TENS~1\lib\site-packages\tensorflow\contrib\keras\python\keras\engine\training.py", line 82, in _standardize_input_data 
    '". Need data for each key in: ' + str(names)) 

Answer 1

我得到了同樣的錯誤在與keras + tensorflow在keras庫類似的情況R.我花了一天的時間來解決我的問題，我想你也一樣。

當輸入是數據框時，它不能識別輸入中的列數。只需將輸入的類型轉換回矩陣，給出形狀正確的列數並且現在可以工作。