**A Crash Course in MXNet Tensor Basics & Simple Automatic Differentiation** - Aug 16, 2018.

This is an overview of some basic functionality of the MXNet ndarray package for creating tensor-like objects, and using the autograd package for performing automatic differentiation.

Tags: GPU, MXNet, Python, Tensor

**Ultra-compact workstation for top deep learning frameworks** - Apr 27, 2018.

For workstation development platforms purpose-built for Tensorflow, PyTorch, Caffe2, MXNet, and other DL frameworks, the solution is BOXX. We're bringing deep learning to your deskside with the all-new APEXX W3!

Tags: BOXX, Caffe, Deep Learning, MXNet, PyTorch, TensorFlow

**Comparing Deep Learning Frameworks: A Rosetta Stone Approach** - Mar 26, 2018.

A Rosetta Stone of deep-learning frameworks has been created to allow data-scientists to easily leverage their expertise from one framework to another.

Tags: Caffe, CNTK, Deep Learning, GPU, Keras, Microsoft, MXNet, PyTorch, TensorFlow

**5 Fantastic Practical Machine Learning Resources** - Feb 6, 2018.

This post presents 5 fantastic practical machine learning resources, covering machine learning right from basics, as well as coding algorithms from scratch and using particular deep learning frameworks.

Tags: Deep Learning, fast.ai, Gluon, Machine Learning, MOOC, MXNet, Python

**The Search for the Fastest Keras Deep Learning Backend** - Sep 26, 2017.

This is an overview of the performance comparison for the popular Deep Learning frameworks supported by Keras – TensorFlow, CNTK, MXNet and Theano.

**Pages:** 1 2

Tags: CNTK, Deep Learning, Keras, Machine Learning, MXNet, Neural Networks, TensorFlow, Theano