Does anyone know what is the difference between using Google Cloud Machine Learning compare to a Virtual Machine instance in the Google Cloud Engine ? I am using Keras with Python 3 and feel like...

I have a trained net in tensorflow that i wish to use in gcloud ml-engine serving for prediction. Predict gcloud ml serving should accept numpy array float32 type images with size of 320x240x3 and...

I am loading a tensorboard for my ml engine experiment that is running in local mode and got the following warning: "Found more than one graph event per run, or there was a metagraph containing a...

I have successfully deployed on model on Cloud ML Engine and verified it is working with gcloud ml-engine models predict by following the instructions, now I want to send predictions to it from my ...

I have successfully deployed on model on Cloud ML Engine and verified it is working with gcloud ml-engine models predict by following the instructions, now I want to send predictions to it from my ...

I am solving a text classification problem. I defined my classifier using the Estimator class with my own model_fn. I would like to use Google's pre-trained word2vec embedding as initial values and...

I am able to train my model and use ML Engine for prediction but my results don't include any identifying information. This works fine when submitting one row at a time for prediction but when subm...

I've followed the TensorFlow for Poets tutorial and replaced the stock flower_photos with a few classes of my own. Now I've got my labels.txt file and my graph.pb saved on my local machine. Is the...

My goal is to use training data (format: tfrecords) stored on Google Cloud storage when I run my Tensorflow Training App, locally. (Why locally? : I am testing before I turn it into a training pack...

I'd like to take the tensorflow model i've trained online and run it locally with a python program I distribute. After training, I get a directory /model with two files /saved_model.pb and a folde...

I am trying to submit a job to gcloud ml-engine. For reference the job is using this sample provided by Google It went through the first time, but with errors unrelated to this question, and now I...

I am trying to deploy a retrained version of the inception model on google cloud ml-engine. Gathering informations from the SavedModel documentation, this reference, and this post of rhaertel80, I ...

In the alpha release of CloudML's online prediction service, the format for exporting model was: inputs = {"x": x, "y_bytes": y} g.add_to_collection("inputs", json.dumps(inputs)) outputs = {"a": a...

I tried to run tensorflow-wavenet on the google cloud ml-engine with gcloud ml-engine jobs submit training but the cloud job crashed when it was trying to read the json configuration file: with op...