Deep Learning Frameworks 2019

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: https://github.com/llSourcell/DeepLearningFrameworks Please Subscribe! And Like. And comment. Thats what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval instagram: https://www.instagram.com/sirajraval Facebook: https://www.facebook.com/sirajology More learning resources: https://www.netguru.com/blog/deep-learning-frameworks-comparison https://towardsdatascience.com/deep-learning-framework-power-scores-2018-23607ddf297a https://www.exastax.com/deep-learning/a-comparison-of-deep-learning-frameworks/ https://skymind.ai/wiki/comparison-frameworks-dl4j-tensorflow-pytorch https://www.marutitech.com/top-8-deep-learning-frameworks/ Join us at the School of AI: https://theschool.ai/ Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ Please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w