Deep Learning

Deep Learning | News, how-tos, features, reviews, and videos

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Automated machine learning or AutoML explained

AutoML frameworks and services eliminate the need for skilled data scientists to build machine learning and deep learning models

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Supervised learning explained

Supervised learning turns labeled training data into a tuned predictive model

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Reinforcement learning explained

Reinforcement learning uses rewards and penalties to teach computers how to play games and robots how to perform tasks independently

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Natural language processing explained

Deep learning has improved machine translation and other NLP tasks by leaps and bounds

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Deep learning explained

Deep neural networks can solve the most challenging problems, but require abundant computing power and massive amounts of data

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Machine learning algorithms explained

Machine learning uses algorithms to turn a data set into a model. Which algorithm works best depends on the problem

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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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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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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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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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For developers, the focus is deep learning, multiplatform, and coding skills

Angular, TensorFlow, React, and Electron all have seen large increases in developer activity on GitHub

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