Run my Keras deep learning model on Google ML Engine.
$30-250 USD
Closed
Posted over 5 years ago
$30-250 USD
Paid on delivery
I am in need of developer who has experience with Python, Keras and Google ML Engine.
I have a deep learning model developed in Keras. I want to deploy it on Google ML Engine to serve predictions. I have written the code in a way that it can be deployed on Google ML Engine. The model trains alright when I run it locally using the python script but it has some issues when I use the `gcloud ml-engine train` command. The following are the issues that need to be fixed:
1. The `gcloud ml-engine local train` command to train the model locally runs but fails to install the required dependencies.
2. Currently, the model works by first downloading its training dataset to a local folder from my Google Storage Bucket and training on it. However, this makes a problem with ML engine since it doesn't have a local folder. Ideally it should get data directly on Google Storage bucket instead of downloading it locally but I am open to other suggestions on its solution.
3. I have a local script function that allows you to call predictions on the trained model. I want the serving function implementation relative to Google ML Engine so predictions can be directly from Google ML Engine deployed model.
All the documentation, README, and instructions at each step will be provided written in a full guide. I will personally also be available to answer any questions you might have.
The budget of this project is $70.
Hello, there,
I am very happy to put my bid on your project.
I am an expert of deep learning algorithm and senior python developer, so I am interested in and confident to do this project.
I hope to discuss everything of the project in detail with you and work on this project with you.
Regards.
Hello!
I am a python developer.
I looked at your project and it seems interesting.
I have all necessary skills required for this project.
Ping me to discuss in detail.