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TensorForce: A TensorFlow library for applied reinforcement learning – reinforce.io

This blogpost will give an introduction to the architecture and ideas behind TensorForce, a new reinforcement learning API built on top of TensorFlow. This post is about a practical question: How can the applied reinforcement learning community move from collections of scripts and individual examples closer to an API for reinforcement learning (RL) — a ‘tf-learn’ or ‘skikit-learn’ for RL? Before discussing ...

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Baidu employs the PaddlePaddle framework internally for prediction systems, along with Python to make training models and deriving predictions a snap Many of the latest machine learning and data science tools purport to be easy to work with compared to previous generations of such frameworks and libraries. Chinese search engine giant Baidu now has an open source project in the same vein: a machine learning ...

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Deep Learning with Emojis (not Math) – tech-at-instacart

Sorting shopping lists with deep learning using Keras and Tensorflow. Shopping for groceries is hard. Stores are large and have complex layouts that are confusing to navigate. The hummus you want could be in the dairy section, the deli section, or somewhere else entirely. Efficiently navigating a store can be a daunting task. At Instacart, our customers can order millions of products from hundreds of retail ...

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Microsoft Updates its Deep Learning Toolkit | Cortana Intelligence and Machine Learning Blog

We are delighted to announce that Microsoft has brought Microsoft Cognitive Toolkit version 2.0 out of beta and is making the first release candidate available today. The toolkit, previously known as CNTK, is a system for deep learning used to speed advances in areas such as speech and image recognition and search relevance on CPUs and NVIDIA® GPUs. Cognitive Toolkit can be used on-premises or in the cloud ...

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An Exclusive Look at How AI and Machine Learning Work at Apple

Three years earlier, Apple had been the first major tech company to integrate a smart assistant into its operating system. Siri was the company’s adaptation of a standalone app it had purchased, along with the team that created it, in 2010. Initial reviews were ecstatic, but over the next few months and years, users became impatient with its shortcomings. All too often, it erroneously interpreted commands. ...

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Why Businesses are Leaning towards Machine Learning … 

Many companies are slowly waking up each day to the smell of a new coffee. It's called Machine Learning! Machine Learning is here to stay. It is expected to influence every aspect of life, including the way business decisions will be made in future. It's already happening. Machine Learning phenomenon: Machine Learning is a shortcut for machines or systems to learn the way decisions are made in life, which a ...

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Experts on the Pros and Cons of Algorithms | Pew Research Center

Code-Dependent: Pros and Cons of the Algorithm Age Algorithms are aimed at optimizing everything. They can save lives, make things easier and conquer chaos. Still, experts worry they can also put too much control in the hands of corporations and governments, perpetuate bias, create filter bubbles, cut choices, creativity and serendipity, and could result in greater unemployment (filistimlyanin/iStock.com) A ...

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Essential Differences between Deep Learning and Conventional Neural Network 

There has been a resurgence in interest in Neural Network since 2006, because of some breakthroughs known collectively as Deep Learning. A Deep Learning based solution uses deep neural network with multiple hidden layers. However, the learning techniques are different from conventional neural networks. Key Differences Conventional Neural Network A conventional neural network, uses back propagation of error ...

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4 challenges Artificial Intelligence must address

4 challenges Artificial Intelligence must address If news, polls and investment figures are any indication, Artificial Intelligence and Machine Learning will soon become an inherent part of everything we do in our daily lives. Backing up the argument are a slew of innovations and breakthroughs that have brought the power and efficiency of AI into various fields including medicine, shopping, finance, news, f ...

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Stop overdoing it when cleaning your big data – TechRepublic

Stop overdoing it when cleaning your big dataEnough is enough--your big data might actually be getting too clean. Find out why it can be useful to keep bad, garbage data.When you got a job as a data scientist, I bet you didn't imagine you'd spend so much time cleaning up bad data. Don't feel badly—none of us did.When data science rolled on the scene, many of us who were already in the data warehousing and b ...

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