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Why developers still use TensorFlow - in 100 seconds
TensorFlow is an open-source machine learning framework built by Google, and this 100-second video explains how it works from ...
Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...
TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...
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Keras vs TensorFlow explained: Which one to use?
In this video, we will understand what is Keras and Tensorflow. Tensorflow is a free and open-source library for machine ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
TensorFlow, which Google created, is the most popular open-source ML platform. It's used by almost everyone in the ML/artificial intelligence world. Kanwar and Fred Alcober, Google's Product Marketing ...
A subcategory of machine learning, deep learning uses multi-layered neural networks to automate historically difficult machine tasks—such as image recognition, natural language processing (NLP), and ...
Intel has just announced that its new Data Center GPU Flex Series cards have been added to their family of PluggableDevices, something that is called Intel Extension for TensorFlow. Intel Extension ...
The pre-trained models are provided by various companies, for example, by Google via TensorFlow Hub. The pre-trained model can then be fine-tuned during a task-specific training phase. This requires ...
Among the innovations that power the popular open source TensorFlow machine learning platform are automatic differentiation (Autograd) and the XLA (Accelerated Linear Algebra) optimizing compiler for ...
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