This is the Windows app named TensorFlow Model Optimization Toolkit whose latest release can be downloaded as TensorFlowModelOptimization0.7.4.zip. It can be run online in the free hosting provider OnWorks for workstations.
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TensorFlow Model Optimization Toolkit
DESCRIPTION
The TensorFlow Model Optimization Toolkit is a suite of tools for optimizing ML models for deployment and execution. Among many uses, the toolkit supports techniques used to reduce latency and inference costs for cloud and edge devices (e.g. mobile, IoT). Deploy models to edge devices with restrictions on processing, memory, power consumption, network usage, and model storage space. Enable execution on and optimize for existing hardware or new special purpose accelerators. Choose the model and optimization tool depending on your task. In many cases, pre-optimized models can improve the efficiency of your application. Try the post-training tools to optimize an already-trained TensorFlow model. Use training-time optimization tools and learn about the techniques.
Features
- Improve performance with off-the-shelf models
- Use the TensorFlow Model Optimization Toolkit
- Optimize further
- Use training-time optimization tools and learn about the techniques
- Pre-optimized models can improve the efficiency of your application
- Optimize machine learning models
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/tensorflow-model-optim.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
