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Darknet: The Open Source Framework for Deep Neural Networks

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This article gives a quick overview of Darknet and the way it works. Artificial Neural Networks (ANNs) are a key area of research and application...

How Quality Data Sets Help Machines Learn

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Just like the fuel that runs the engine of a vehicle, a data set is a key ingredient for solving a given problem using...

A Few Facts About Deep Learning in a Web Browser

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Data privacy has given an impetus to browser based deep learning, as it helps data remain in the vicinity of a device. Another factor...

A Guide to Using Google Colab for ML and DL Applications

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AI and ML have become household terms today and have permeated our lives. This article tells us how to use Google Colab to start...

AI Power for COVID-19 Control

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Why do patients have to wait for hours to get tested when artificial intelligence (AI) can do it in seconds? Read on to learn...

A Peep into Deep Learning Architectures for Industrial Applications

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Deep learning is an approach that makes a machine imitate the network of neurons in a human brain. It consists of algorithms, which allow...

Deep Learning of Sequential Data with LSTM

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This brief article presents a method for deep learning of sequential data with LSTM through the use of Keras. “Deep learning allows computational models that...

Weka: A Free and Open Source Suite for Machine Learning and...

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Weka or the Waikato Environment for Knowledge Analysis is a machine learning suite that is written in Java, having been developed by the University...

LinkedIn Open Sources a Tool that Formats Big Data for TensorFlow

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Inside LinkedIn, Avro2TF is an integral part of a system called TensorFlowIn that helps users easily feed data into the TensorFlow modeling process.  LinkedIn has...

H2O: The Versatile Tool for Deep Learning

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The H2O project developed by H20.ai provides users tools for data analysis, allowing them to fit thousands of potential models when trying to discover...