InfoQ Homepage Deep Learning Content on InfoQ
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TensorFlow Learns Cucumber Selection and Classification
Cucumber farmer with embedded systems engineering background teaches TensorFlow neural network to mimic his cucumber-farming family’s classification and selection skills for automation.
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Facebook Open-Sources Deep Learning Project Torchnet
Facebook Artificial Intelligence Research laboratory open-sources the Torchnet project to package and optimize boiler plate deep learning code for reuse and plugin-ability.
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Google Details New TensorFlow Optimized ASIC
The machine learning and engineering communities weigh in on news of Google's new TensorFlow optimized processor, the TPU and possibly influence several industry leaders in the hardware space like Intel and Nvidia.
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Google Cloud Machine Learning and Tensor Flow Alpha Release
Late last month Google released an alpha version of their TensorFlow (TF) integrated cloud machine learning service as a response to a growing need to make their Tensor Flow library to run at scale on the Google Cloud Platform (GCP). Google describes several new feature sets around making TF usage scale by integrating several pieces of the GCP like Dataproc, a managed Hadoop and Spark service.
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Databricks Integrates Spark and TensorFlow for Deep Learning
Since announcements late last year about Google open-sourcing TensorFlow, the company’s open-source library for machine learning, and previous coverage at InfoQ, the data-science community has had an opportunity to try out TensorFlow for their own projects.
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TensorFlow: Google Open Sources Their Machine Learning Tool
TensorFlow is a machine learning library created by the Brain Team researchers at Google and now open sourced under the Apache License 2.0. TensorFlow is detailed in the whitepaper TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. The source code can be found on Google Git.