The Ultimate Guide to Machine Learning Frameworks

4 years ago thenewstack.io

Summary: This is a summary of an article originally published by The New Stack. Read the full original article here →

We have seen an explosion in developer tools and platforms related to machine learning and artificial intelligence during the last few years. From cloud-based cognitive APIs to libraries to frameworks to pre-trained models, developers make many choices to infuse AI into their applications.

These frameworks expose simpler APIs that translate to complex mathematical computations and numerical analysis often needed for training the machine learning models.

This guide aims to introduce mainstream machine learning and deep learning frameworks to developers with an emphasis on their unique characteristics.

TensorFlow is one of the most popular machine learning and deep learning frameworks used by developers and researchers.

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