google-cloud-ml Questions
1
I'm using the Vertex AI custom training feature at Google Cloud Platform (GCP) to train the model. But every time I triggered training, it takes 10 minutes until it actually starts training due to ...
Elenore asked 30/5, 2021 at 11:13
4
Solved
All of a sudden I started getting "Permission Denied" issues when trying to run any gcloud commands such as gcloud components update -- the issue was avoided if I ran sudo gcloud components update ...
Gand asked 10/3, 2018 at 15:34
6
Solved
While the artifact repository was successfully creating, running a docker push to push the image to the google artifact registry fails with a permissions error even after granting all artifact perm...
Councilman asked 15/5, 2022 at 20:0
4
Solved
I'm running online predictions on google cloud machine learning API using the google api python client and a model hosted for me at google cloud.
When I predict sending one image, the server, inclu...
Marietta asked 25/2, 2018 at 0:43
5
Solved
GCP has finally released managed Jupyter notebooks. I would like to be able to interact with the notebook locally by connecting to it. Ie. i use PyCharm to connect to the externaly configured jupyt...
Custommade asked 12/4, 2019 at 5:39
1
Solved
I am aware that it is possible to deploy custom containers for training jobs on google cloud and I have been able to get the same running using command.
gcloud ai-platform jobs submit training inf...
Anemoscope asked 25/10, 2019 at 17:11
2
Solved
I've been following the TensorFlow for Poets 2 codelab on a model I've trained, and have created a frozen, quantized graph with embedded weights. It's captured in a single file - say my_quant_graph...
Flynt asked 2/6, 2017 at 12:38
2
I am facing some issues with GCP and the AI Platform (Jupyterlab)
It seems that I am unable to maintain a stable connection with the server for a long time. I keep getting those 'server connection ...
Longheaded asked 26/2, 2020 at 21:46
2
Solved
I have a trained model that takes in a somewhat large input. I generally do this as a numpy array of the shape (1,473,473,3). When I put that to JSON I end up getting about a 9.2MB file. Even if I ...
Evangelista asked 27/11, 2017 at 15:53
3
Solved
I am trying to run Google clound ml-engine following this tutorial, when executing this command :
$ gcloud ml-engine jobs submit training `whoami`_object_detection_`date +%s` \
--job-dir=gs://${...
Fantan asked 22/11, 2018 at 10:47
3
Solved
I am new to deep learning and I want to use a pretrained (EAST) model to serve from the AI Platform Serving, I have these files made available by the developer:
model.ckpt-49491.data-00000-of-000...
Marcos asked 26/6, 2019 at 6:40
2
(Note: I have also asked this question here)
Problem
I have been trying to get Google Cloud's AI platform to display the accuracy of a Keras model, trained on the AI platform. I configured the hy...
Exeunt asked 28/4, 2020 at 12:20
1
Solved
I'm launching container images on Google Cloud AI Training (Cloud ML Engine)
Inside those containers I need to use gsutil.
Some containers have gsutil. In that case I can use it right away without...
Nacelle asked 23/4, 2020 at 10:35
6
Solved
My objective is to make predictions on google cloud ml engine.
I installed gcloud sdk on linux ubuntu 16.04LT following Google instructions.
I already have a machine learning trained model.
I usin...
Tektite asked 16/2, 2018 at 10:9
2
Solved
I recently deployed a custom model to google cloud's ai-platform, and I am trying to debug some parts of my preprocessing logic. However, My print statements are not being logged to the stackdriver...
Felicidad asked 11/2, 2020 at 6:29
2
I am trying to train a machine learning model usinf tensorflow library in the google cloud. I am able to train the model in the cloud after creating a bucket. I am facing the issue when I am tring ...
Headmistress asked 12/6, 2018 at 6:2
6
How do I set up a TensorFlow in the Google cloud? I understand how to create a Google Compute Engine instance, and how to run TensorFlow locally; and a recent Google blog post suggests that there o...
Sonometer asked 14/5, 2016 at 21:5
2
I don't understand how to make a single prediction using TensorFlow Estimator API - my code results in an endless loop that keeps predicting for the same input.
According to the documentation, the...
Araiza asked 17/12, 2017 at 15:57
6
Solved
While working on Udacity Deep Learning assignments, I encountered memory problem. I need to switch to a cloud platform. I worked with AWS EC2 before but now I would like to try Google Cloud Platfor...
Jeroboam asked 28/4, 2016 at 13:49
2
Solved
In the model I want to launch, I have some variables which have to be initialized with specific values.
I currently store these variables into numpy arrays but I don't know how to adapt my code to...
Menswear asked 13/1, 2017 at 11:34
3
Solved
When creating a new version of an ML Engine Model with the command
gcloud ml-engine versions create 'v1' --model=model_name --origin=gs://path_to_model/1/ --runtime-version=1.4
I recieve the fol...
Adaptive asked 1/3, 2018 at 16:19
1
Solved
I would like to evaluate a custom-trained Tensorflow object detection model on a new test set using Google Cloud.
I obtained the inital checkpoints from:
https://github.com/tensorflow/models/blob/...
Irrefrangible asked 1/4, 2019 at 13:4
1
Solved
I want to train a model on about 2TB of image data on gcloud storage. I saved the image data as separate tfrecords and tried to use the tensorflow data api following this example
https://medium.co...
Mislay asked 4/2, 2019 at 20:24
1
Solved
I am trying to deploy a tf.keras image classification model to Google CloudML Engine. Do I have to include code to create serving graph separately from training to get it to serve my models in a we...
Labor asked 14/1, 2019 at 2:14
2
I'm predicting image classes using Keras. It works in Google Cloud ML (GCML), but for efficiency need change it to pass base64 strings instead of json array. Related Documentation
I can easily run...
Kutz asked 27/12, 2017 at 19:18
1 Next >
© 2022 - 2024 — McMap. All rights reserved.