Я написал этот маленький мир нейронной сети типа helloworld.Проблема в том, что я постоянно получаю эту ошибку, которая говорит:
"Traceback (most recent call last):
File "C:/Users/Pigeonnn/PycharmProjects/Noss/Network.py", line 21, in <module>
model.add(keras.layers.InputLayer(input_shape))
File "C:\Users\Pigeonnn\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\training\checkpointable\base.py", line 442, in _method_wrapper
method(self, *args, **kwargs)
File "C:\Users\Pigeonnn\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\keras\engine\sequential.py", line 145, in add
'Found: ' + str(layer))
TypeError: The added layer must be an instance of class Layer. Found: <keras.engine.input_layer.InputLayer object at 0x0000015EDB394DA0>"
Вот мой код:
import keras
import numpy as np
from sklearn.model_selection import train_test_split
import pandas as pd
from sklearn.utils import shuffle
import tensorflow as tf
seed = 10
np.random.seed(seed)
dataset = np.loadtxt("dataset2.csv",delimiter=',',skiprows=1)
dataset = shuffle(dataset)
X = dataset[:,2:]
Y = dataset[:,1]
(X_train,X_test,Y_train,Y_test) = train_test_split(X, Y, test_size=0.15, random_state=seed)
input_shape = (13,)
model = tf.keras.models.Sequential()
model.add(keras.layers.InputLayer(input_shape))
model.add(keras.layers.core.Dense(128, activation='relu'))
model.add(keras.layers.core.Dense(128, activation='relu'))
model.add(keras.layers.core.Dense(4, activation='sigmoid'))
model.compile(optimizer='adam',loss='sparse_categorical_crossentropy',metrics=['accuracy'])
model.fit(X_train,Y_train,epochs=20)
РЕДАКТИРОВАТЬ: после некоторых настроек (изменение функции потерь, удаление модели TF), яесть другая ошибка, на этот раз ее:
Traceback (most recent call last):
File "C:/Users/Pigeonnn/PycharmProjects/Noss/Network.py", line 28, in
model.fit(X_train,Y_train,epochs=20)
File "C:\Users\Pigeonnn\AppData\Local\Programs\Python\Python37\lib\site-packages\keras\engine\training.py", line 952, in fit
batch_size=batch_size)
File "C:\Users\Pigeonnn\AppData\Local\Programs\Python\Python37\lib\site-packages\keras\engine\training.py", line 789, in _standardize_user_data
exception_prefix='target')
File "C:\Users\Pigeonnn\AppData\Local\Programs\Python\Python37\lib\site-packages\keras\engine\training_utils.py", line 138, in standardize_input_data
str(data_shape))
ValueError: Error when checking target: expected dense_3 to have shape (4,) but got array with shape (1,)