Vertex AI Reviews & Product Details - Page 48

Easy to run ML Engine jobs via gcloud ml engine commands Review collected by and hosted on G2.com.

ML models are developed using paths to local files. Updating models to use Google Cloud Storage is difficult and there is no documentation on Google Cloud on how to do this. Also updating python scripts to use argparse is trial and error with little documentation. Review collected by and hosted on G2.com.

I used the computer vision, natural language processing engine. The API support is pretty well that I can write code quickly. Review collected by and hosted on G2.com.

Functions like Safe Search could be improved with more detailed information, instead of justing giving 0-5 ratings. Review collected by and hosted on G2.com.

Ability to quickly deploy out machine learning without the setup and operational requirements needed to complete the task. Wish there was more ux involved in the machine learning engine but I'm sure that will come. Review collected by and hosted on G2.com.

Requires some development skills and analytical skills and there isn't a simple button you can press. Review collected by and hosted on G2.com.

Being able to do everything in a seamless serverless fashion. Review collected by and hosted on G2.com.

Not everything is tied neatly. Like Firebase data cannot be streamed to Cloud Pub/Sub so we can do machine learning.

Google Speech API doesnt do transcription for longer audio files from contact center recordings Review collected by and hosted on G2.com.

I am just trying to learn ML and registered in the ML boot camp. I am enjoying the lectures and how the boot camp is organized. Review collected by and hosted on G2.com.

I got the the info. on pre-requisites just 12 or so hours before the boot camp was supposed to start. Review collected by and hosted on G2.com.

We went through an alpha with GCP particularly for AutoML. The onboarding and commitment of the Google Cloud team is an amazing experience. They seem to have to most experience on this topic compared to the other big competitors like AWS. Review collected by and hosted on G2.com.

The amount of categories is currently fairly limited, but this should expand anytime soon. Review collected by and hosted on G2.com.

the whole framework is in place to start with. the data collection api is good. the process to sample the data and create subset is clear. like the idea of data training and prediction. bootcamp is a good start and google cloud platform is worthy registration. Review collected by and hosted on G2.com.

would like it better to be able to register the bootcamp at home and start a free session that valid for a few days. Review collected by and hosted on G2.com.

The Ease of use of GCP ML API. It has the great ability to manage the model management , versioning and ease of deployment . The documentation is very user friendly and it support different languages Review collected by and hosted on G2.com.

The product doesn't provide KPI meterics or the epoc time cycle as well as comparison of all deployed model for better ascore Review collected by and hosted on G2.com.

Google Cloud Machine Learning Engine has lots of build in functions in tensor flow and has datalab to run step by step. Review collected by and hosted on G2.com.

Sometimes it takes some time to go thruogh the help ducment. Review collected by and hosted on G2.com.

The open source TensorFlow library. Detailed tutorials that utilize pre-trained models to train specialized vision models. The model zoo. Review collected by and hosted on G2.com.

The console can be improved with better integration with tensorboard and jupyter notebooks. Review collected by and hosted on G2.com.