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Tag: Tensorflow

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If you have not yet been introduced to Machine Learning, TensorFlow is Google's open-source, Machine Learning (ML) platform that aims to simplify developing ML models. It is a symbolic math toolbox that performs several tasks, such as deep neural network training and inference using dataflow and differentiable programming.

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What is Keras?

Keras is a tool for machine learning specialists who work with Python, mostly used due to the convenience of mathematical calculations. Developers use Keras to create, configure, and test machine learning and artificial intelligence systems, primarily neural networks.

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In this tutorial, we are going to take a look at how to get started with TensorFlow on CentOS. We will be covering two methods. First, we will take a look at installing TensorFlow in a Python virtual environment via the Python package manager pip. After that, we will walk through installing TensorFlow via the Anaconda package manager. Finally, we will cover building a TensorFlow pip package from source.

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In this tutorial, we are going to walk through how to install scikit-learn on an Ubuntu 18.04 server. We are going to walk through the installation both in a virtual environment with the Python package manager, Pip, and via Anaconda.

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In this tutorial, we are going to set up TensorFlow in a virtual Python environment on Ubuntu 18.04. TensorFlow is an open-source framework, developed by the Google Brain team, designed to be a high-level interface for implementing machine learning and mathematical operations. This library provides developers an avenue to work on complex projects like neural networks through an easy to use Python API. One of the significant benefits of having a Python front-end is that it is portable between operating systems like Linux and Windows.

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Whether you’re a beginner or a professional, TensorFlow is an end-to-end platform that makes building and deploying Machine Learning models a snap! Because TensorFlow is based on the Python system, you can install it on multiple operating systems, including Windows. This article will take you through the necessary steps to get TensorFlow installed on your Windows server.

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