What are the ways you can learn different Deep Learning Frameworks?

By ridhigrg |Email | Aug 12, 2019 | 7491 Views

Deep Learning Frameworks 2019

Which deep learning framework should you use? In this video 10 deep learning frameworks will be compared 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! 

Deep Learning Frameworks (C2W3L10)

Deep Learning Frameworks Compared

In this video, I compare 5 of the most popular deep learning frameworks (SciKit Learn, TensorFlow, Theano, Keras, and Caffe). We go through the pros and cons of each, as well as some code samples, eventually coming to a definitive conclusion.

Deep Learning Frameworks: Computation Graphs

L10/1 Deep Learning Frameworks, Gluon

Dive into Deep Learning

Source: HOB