Amazon s3 keras使用python将序列化权重HDF5保存到AWS s3
我在python中运行keras中的LSTM模型，它使用下面显示的代码将模型和权重分别保存到本地驱动器中。保存到AWS S3存储桶的编码是什么Amazon s3 keras使用python将序列化权重HDF5保存到AWS s3,amazon-s3,keras,save,hdf5,Amazon S3,Keras,Save,Hdf5,我在python中运行keras中的LSTM模型，它使用下面显示的代码将模型和权重分别保存到本地驱动器中。保存到AWS S3存储桶的编码是什么 model.fit(train_X, train_Y, epochs=epochs, batch_size=batch, verbose=2) architecture = model.to_json() with open('folder/filename.json', 'wt') as json_file:
model.fit(train_X, train_Y, epochs=epochs, batch_size=batch, verbose=2)
architecture = model.to_json()
with open('folder/filename.json', 'wt') as json_file:
json_file.write(architecture)
# serialises weights and saves hdf5
model.save_weights('folder/filename.h5')```