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    AI

    Open Source AI Frameworks

    Overview

    Let’s learn about open-source AI frameworks in this tutorial. An AI framework is a software framework that allows developers and researchers to build and deploy Artificial Intelligence(AI) applications and Machine Learning(ML) models.

    These frameworks provide developers with a wide range of features such as machine learning algorithms, deep learning, neural network architectures, optimization techniques, and data-processing capabilities.

    Open Source AI Frameworks

    There are several open-source AI frameworks currently available in the IT market. Some of them are as follows:

    • TensorFlow
    • PyTorch
    • Caffe

    TensorFlow

    TensorFlow is an open-source E2E(end-to-end) platform developed by Google, Inc. TensorFlow is a powerful framework for building and training deep learning models. It makes it easy to build and deploy ML(Machine Learning) models.

     

    Open Source AI Frameworks TensorFlow

    TensorFlow provides a wide range of tools and APIs for creating neural networks and supports a variety of programming languages including Python, C++, and Java.

    More information: https://www.tensorflow.org/

    PyTorch

    PyTorch is a popular open-source deep-learning framework developed by Facebook. PyTorch is flexible and easy to use. It allows users to create and train neural networks using dynamic computational graphs and supports a range of deployment options including mobile devices and the web.

    More Information: https://pytorch.org/

     

    Open Source AI Frameworks PyTorch

    Caffe

    Cafee is a popular deep-learning framework developed by the Berkeley Vision and Learning Center (BVLC). It is optimized for speed and efficiency. It provides a simple and expressive architecture for defining and training neural networks and supports a range of network architectures including convolutional and recurrent neural networks.

    More Information: https://caffe.berkeleyvision.org/

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