Deep Learning

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Review: Azure Machine Learning challenges Amazon SageMaker

Microsoft Azure’s plush, Python-based environment covers the full machine learning and deep learning development cycle

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What is Keras? The deep neural network API explained

Easy to use and widely supported, Keras makes deep learning about as simple as deep learning can be

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Guided automation for machine learning

Implementing a web-based blueprint for semi-automated machine learning, using the open source Knime Analytics Platform

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How to automate machine learning

KNIME’s blueprint for guided automation allows business analysts to train, test, and tune machine learning models via web browser

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AWS piles on the machine learning services

Hosted TensorFlow, pay-as-you-go inference serving, reinforcement learning, and automatic data labeling come to the Amazon cloud

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Reinforcement learning comes into AI’s mainstream

Developers now have the tools to get started with this revolutionary technology that is poised to become mainstream

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Review: MXNet deep learning shines with Gluon

With the addition of the high-level Gluon API, Apache MXNet rivals TensorFlow and PyTorch for developing deep learning models

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How to use Knime for data science

Free, open-source Knime allows you to visually assemble data processing “nodes” into machine learning, deep learning, and other analytics workflows

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Explainable AI: Peering inside the deep learning black box

Why we must closely examine how deep neural networks make decisions, and how deep neural networks can help

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7 cloud services to ease machine learning

Build, train, tune, and deploy machine learning and deep learning models in these end-to-end machine learning clouds

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PyTorch 1.0 accelerates Python machine learning with native code

The PyTorch 1.0 release candidate introduces Torch Script, a Python subset that can be JIT-compiled into C++ or other high-speed code

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The best open source software for machine learning

InfoWorld’s 2018 Best of Open Source Software Award winners in machine learning and deep learning

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Bossies 2018: The Best of Open Source Software Awards

InfoWorld recognizes the leading open source projects for software development, cloud computing, big data, and machine learning

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How to solve AI’s reproducibility crisis

Society will never fully trust artificial intelligence’s actions unless they can be shown to produce reasonably repeatable results in line with what their developers claim

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Review: Keras sails through deep learning

Keras sequential models make deep neural network modeling about as simple as it can be

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LinkedIn open-sources a tool to run TensorFlow on Hadoop

The Tony project uses Hadoop's native scheduler to run TensorFlow jobs, making fault tolerance and GPU usage easier

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Machine learning: When to use each method and technique

What exactly can you do with machine learning? We explain the various methods and techniques available to you

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What is CUDA? Parallel programming for GPUs

You can accelerate deep learning and other compute-intensive apps by taking advantage of CUDA and the parallel processing power of GPUs

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