What is MXNet framework?

Apache MXNet is a fast and scalable training and inference framework with an easy-to-use, concise API for machine learning. MXNet includes the Gluon interface that allows developers of all skill levels to get started with deep learning on the cloud, on edge devices, and on mobile apps.

What is neural network framework?

Deep learning is a broader field of machine learning, which uses artificial neural networks(ANN) to derive high-level features from the inputs. Deep learning or deep neural networks(DNN) architecture consists of multiple layers, specifically the hidden layers between the input and output layers.

Is MXNet better than TensorFlow?

On the other hand, MXNet supports both imperative and declarative languages, is highly flexible, offers a complete training module, and supports multiple languages. MXNet offers faster calculation speeds and resource utilisation on GPU. In comparison, TensorFlow is inferior; however, the latter performs better on CPU.

Who is using MXNet?

Who uses MXNet? 5 companies reportedly use MXNet in their tech stacks, including Avito, Red Hat BIDS, and bentoml.

Who uses MXNet?

Amazon
Cloud Support Amazon has chosen MXNet as its deep learning framework of choice at AWS. Currently, MXNet is supported by Intel, Baidu, Microsoft, Wolfram Research, and research institutions such as Carnegie Mellon, MIT, the University of Washington, and the Hong Kong University of Science and Technology.

Is MXNet popular?

Despite being widely used by many organizations in the tech industry, MxNet is not as popular as Tensorflow.

Which framework is best for machine learning?

Top 10 Machine Learning Frameworks You Need to Know

• TensorFlow.
• Theano.
• Scikit-learn.
• Caffe.
• H20.
• Amazon Machine Learning.
• Torch.
• Google Cloud ML Engine.

Is MXNet faster than PyTorch?

Popular frameworks with GPU support have been released and iteratively updated. TensorFlow, PyTorch, and MXNet are the most widely used three frameworks with GPU support. For example, TensorFlow training speed is 49\% faster than MXNet in VGG16 training, PyTorch is 24\% faster than MXNet.

Which deep learning framework is the GluonCV toolkit based on?

Installation. GluonCV is built on top of MXNet and PyTorch. Depending on the individual model implementation(check model zoo for the complete list), you will need to install either one of the deep learning framework. Of course you can always install both for the best coverage.