Project Overview:

Introducing the BMW-TensorFlow-Training-GUI project, your go-to solution for training deep learning models. As a designer and front-end developer, I’ve had the privilege of designing this web app from scratch using Adobe XD and implementing the front end using Angular.

This project leverages the power of the TensorFlow Object Detection API, offering support for training on both CPU and multiple GPUs. It’s equipped with a GUI for dataset preparation, parameter specification, training progress monitoring, and visualization of graphs and metrics. Plus, it comes with a built-in inference REST API for model testing. For more details, visit the project’s GitHub page and the official TensorFlow website.

The BMW-TensorFlow-Training-GUI project is a must-have tool for anyone looking to train deep learning models with minimal configuration. Its user-friendly interface and robust support for both CPU and multiple GPUs make it an excellent choice for developers of all skill levels.

Project Results:

The BMW-TensorFlow-Training-GUI project has been a game-changer in making deep learning model training more accessible and user-friendly. Here’s what it brings to the table:

• User-friendly interface for dataset preparation and parameter specification
• Support for training on both CPU and multiple GPUs
• Built-in inference REST API for model testing
• Visualization of training progress, graphs, and metrics
• Based on the TensorFlow Object Detection API

In a nutshell, the BMW-TensorFlow-Training-GUI project has simplified the process of training deep learning models for developers of all skill levels. Its intuitive interface and support for both CPU and multiple GPUs make it a highly effective tool for deep learning model development and testing.