Uploaded January 2019 | Updated September 2026, 2 weeks ago

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Which deep learning framework should you use? In this video I'll compare 10 deep learning frameworks across a wide variety of metrics. PyTorch, Tensorflow, MXNet, Chainer, CNTK, Sonnet, DeepLearning4J, CoreML, ONNX, we've got a lot to cover in this video! Using code, programmatic features, and theory, I'll navigate this field ultimately coming to some clear conclusions. Enjoy!

Code for this video:
github.com/llSourcell/DeepLearningFrameworks

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More learning resources:
netguru.com/blog/deep-learning-frameworks-comparison
towardsdatascience.com/deep-learning-framework-power-scores-2018-23607ddf297a
exastax.com/deep-learning/a-comparison-of-deep-learning-frameworks
skymind.ai/wiki/comparison-frameworks-dl4j-tensorflow-pytorch
marutitech.com/top-8-deep-learning-frameworks

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