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The ability to Interpret image data using software is advancing fast! The two images above are captioned with program generated text. Here's an article that describes concepts and an approach to generate a caption for an image. The code is written in Python and uses TensorFlow.
How to build and train an image caption generator using a TensorFlo...
"TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well." Here's a TensorFlow tutorial.
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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Ines Montani discusses practical solutions for using the latest models in real-world applications and distilling their knowledge into smaller and faster components.
By Ines MontaniInfoQ is introducing its first hands-on software architecture certification at QCon London 2025 (April 7-11), the international software development conference. The certification will combine practitioner-led conference sessions with a hands-on workshop focused on real-world architectural challenges.
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By Anthony AlfordHugging Face has launched the integration of four serverless inference providers Fal, Replicate, SambaNova, and Together AI, directly into its model pages. These providers are also integrated into Hugging Face's client SDKs for JavaScript and Python, allowing users to run inference on various models with minimal setup.
By Daniel Dominguez
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