With the plethora of deep learning frameworks out there, which one should you use? In this video, Siraj Raval compares 10 deep learning frameworks across a wide variety of metrics. PyTorch, Tensorflow, MXNet, Chainer, CNTK, Sonnet, DeepLearning4J, CoreML, ONNX.
Anima Anandkumar discusses distributed deep learning with MXNet.
Siraj Raval takes a look at how Amazon’s MXNet Deep Learning framework stacks up to other deep learning frameworks.
It’s got an imperative programming API and it does well with distributed training.