This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and many more. To keep receiving these articles, sign up on DSC.

7 Great Articles About TensorFlow

• Google + open-source = TensorFlow 
• Deep Learning with TensorFlow in Python 
• Image Segmentation using deconvolution layer in Tensorflow 
• TensorFlow: Why Google's AI Engine is a Gamechanger 
• TensorFlow Machine Learning System 
• Linear Regression in Tensorflow 
• An Introduction to Implementing Neural Networks using TensorFlow 

TensorFlow is an open source software library for machine learning across a range of tasks, and developed by Google to meet their needs for systems capable of building and training neural networks to detect and decipher patterns and correlations, analogous to the learning and reasoning which humans use (Source: Wikipedia.)

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