Alternative products to TensorFlow Lite

7 alternative and related products to TensorFlow Lite

TensorFlow Lite

Low-latency inference of on-device ML models

TensorFlow’s lightweight solution for mobile and embedded devices. TensorFlow has always run on many platforms but as the adoption of ML models has grown exponentially over the last few years, so has the need to deploy them on mobile and embedded devices. TensorFlow Lite enables low-latency inference of on-device machine learning models.

7 Alternatives to TensorFlow Lite

A no-code Machine Learning solution. Made by teenagers.

As students in high school, we realised that even though it is amazing, machine learning is really difficult to implement into projects.

To remove the hassle we faced ourselves, we created MLBlocks.

-Train models with only 50 images per class

-Create them without expensive GPUs

-Deploy on any platform through our API

-NO CODE REQUIRED

6 Alternatives to mlblocks

Train custom ML models with minimum effort and expertise

Train high quality custom machine learning models with minimum effort and machine learning expertise.

Around the web
Google
" Urban Outfitters is constantly looking for new ways to enhance our customers' shopping experience," says Alan Rosenwinkel, Data Scientist at URBN. "Creating and maintaining a comprehensive set of product attributes is critical to providing our customers relevant product recommendations, accurate search results and helpful product filters; however, manually… See more
TechCrunch
Google today announced the alpha launch of AutoML Vision, a new service that helps developers - including those with no machine learning (ML) expertise - build custom image recognition models.
4 Alternatives to Google CLOUD AUTOML
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