我应该如何在tensorflow 2.0中运行这个？

Question

我试图在python 3.7.6上运行这个项目。tflearn 现在我已经安装了Tensorflow 2.0，我想让这些代码使用tf2.0和keras进行编码。

net = tflearn.input_data(shape=[None, len(training[0])])
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, 8)
net = tflearn.fully_connected(net, len(output[0]), activation="softmax")
net = tflearn.regression(net)
net = tflearn.DNN(net)
net.fit(training, output, n_epoch=1000, batch_size=8, show_metric=True)
net.save("model.tflearn")

Answer 1

我对tflearn了解不多，但在tensorflow和keras中，它看起来像这样------。

model = tf.keras.models.Sequential([ 
                                    tf.keras.layers.Dense(8, activation='relu',input_shape=[len(train_dataset.keys())]), 
                                    tf.keras.layers.Dense(8, activation='relu'), 
                           tf.keras.layers.Dense(len(output[0], activation='softmax')])
model.compile(optimizer = 'adam,
              loss = 'mse',
              metrics=['mse'])

model.fit(x, y, epochs=1000)