我正面临着这个错误 NameError: name 'Dropout_U' is not defined 通过创建LSTM模型 embed_dim = 128batch_size32
model.add(Embedding(2500, embed_dim,input_length = X.shape[1]))model.add(LSTM(lstm_out))
model.add(Dropout_U
我已经将tf模型转换为tflite,并在此过程中应用了量化,但我无法加载它。当我尝试执行interpreter = tf.lite.Interpreter(tflite_model_path)时出现错误,错误消息是: ValueError: Did not get operators or tensors in subgraph 1. 另外,在量化过程中,我得到了模型中每个密集层的大量信息消息: 2021-09-06 04:38:40.879693: I tensorflow/lite/tools/optimize/quantize_weights.cc:217] Skipping quan
because our models are simple#dense means fully connected layers, dropoutflatten to reshape our matrices for feedingfrom keras.layers import Dense, Dropoutfor convergence' sake :) #