我试图理解keras中的Upsampling2D层是如何工作的,所以我创建了一个单层Sequential模型。expected up_sampling2d_7_input to have 4 dimensions, but got array with shape (100, 100, 1)在TensorFlow后端使用keras
second convolutiontf.keras.layers.MaxPooling2D(2,2),tf.keras.layers.Conv2D(64, (3,3), activation='relu'),
tf.keras.layers.MaxPooling2Dtf.keras.layers.Dense