You will get Vehicle Networking Task Offloading


Project details
The selection of the task offloading platform for in-vehicle missions through deep reinforcement learning includes the options of the vehicle itself, Mobile Edge Computing (MEC), and service launch stations.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceAI Tools
Apache MXNet, Azure Machine Learning, Deeplearning4j, Google AutoML, Keras, MATLAB, MLflow, Open Neural Network Exchange, PyTorch, TensorFlowAI Development Language
PythonWhat's included $600
These options are included with the project scope.
$600
- Delivery Time 3 days
- Number of Revisions 1
- AI Model Integration
- Detailed Code Comments
- Knowledge Graph
- Ontology
- Source Code
- Taxonomy
About Mess
Senior Algorithm AI Engineer, Full Stack Engineer
Honghe, China - 10:47 am local time
Steps for completing your project
After purchasing the project, send requirements so Mess can start the project.
Delivery time starts when Mess receives requirements from you.
Mess works on your project following the steps below.
Revisions may occur after the delivery date.
How to deliver the goods.
We'll share a demo video and enable remote customer access to our program for viewing program-generated data. Upon customer satisfaction and issue confirmation, we'll deliver the program and provide post-sales support.