Is TensorFlow lite for Android used for inference only or can it be used also for training?
TensorFlow Lite for Android is a lightweight version of TensorFlow specifically designed for mobile and embedded devices. It is primarily used for running pre-trained machine learning models on mobile devices to perform inference tasks efficiently. TensorFlow Lite is optimized for mobile platforms and aims to provide low latency and a small binary size to enable
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Programming TensorFlow, TensorFlow Lite for Android
What is the usage of the frozen graph?
A frozen graph in the context of TensorFlow refers to a model that has been fully trained and then saved as a single file containing both the model architecture and the trained weights. This frozen graph can then be deployed for inference on various platforms without needing the original model definition or access to the
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Programming TensorFlow, Introducing TensorFlow Lite
Can CMLE read from Google Cloud storage data and use a specified trained model for inference?
Indeed, it can. In Google Cloud Machine Learning, there is a feature called Cloud Machine Learning Engine (CMLE). CMLE provides a powerful and scalable platform for training and deploying machine learning models in the cloud. It allows users to read data from Cloud storage and utilize a trained model for inference. When it comes to
Can Tensorflow be used for training and inference of deep neural networks (DNNs)?
TensorFlow is a widely-used open-source framework for machine learning developed by Google. It provides a comprehensive ecosystem of tools, libraries, and resources that enable developers and researchers to build and deploy machine learning models efficiently. In the context of deep neural networks (DNNs), TensorFlow is not only capable of training these models but also facilitating
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Advancing in Machine Learning, TensorFlow Hub for more productive machine learning
Is inference a part of the model training rather than prediction?
In the field of machine learning, specifically in the context of Google Cloud Machine Learning, the statement "Inference is a part of the model training rather than prediction" is not entirely accurate. Inference and prediction are distinct stages in the machine learning pipeline, each serving a different purpose and occurring at different points in the
What are the benefits of using the GPU back end in TensorFlow Lite for running inference on mobile devices?
The GPU (Graphics Processing Unit) back end in TensorFlow Lite offers several benefits for running inference on mobile devices. TensorFlow Lite is a lightweight version of TensorFlow specifically designed for mobile and embedded devices. It provides a highly efficient and optimized solution for deploying machine learning models on resource-constrained platforms. By leveraging the GPU back
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Advancing in TensorFlow, TensorFlow Lite, experimental GPU delegate, Examination review