google-cloud-ai

问题 I did lots of search, but I cannot understand what the difference between google ai platform and ml engine . It seems that both of them can be used for training and deploying models. Other words like google-cloud-automl, google ai hub are also very confusing. What are the differences between them? Thanks 回答1: The short answer is: there isn't. In 2019 "ML Engine" was renamed to "AI Platform" and in time some services changed and expanded. To see what has changed, check the release notes,

来源： https://stackoverflow.com/questions/61385090/authenticating-standalone-gsutil-in-containers-in-cloud-ml-engine-on-kubernetes

问题 I am trying to load a pre-trained Keras model, for continued training on google cloud. It works locally, by simply loading the discriminator and generator with model = load_model('myPretrainedModel.h5') But obviously this doesn't work on google cloud, I have tried using the same method I use to read the training data from my google storage bucket, with: fil = "gs://mygcbucket/myPretrainedModel.h5" f = BytesIO(file_io.read_file_to_string(fil, binary_mode=True)) return np.load(f) However this