MXNet
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Explore more → **MXNet**
What is MXNet?
Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows users to define, train, and deploy deep neural networks. MXNet supports a variety of programming languages (like Python, Scala, C++) and is often used for tasks such as image recognition, natural language processing, and time series forecasting, particularly in distributed environments due to its scalability.
What other technologies are related to MXNet?
MXNet Competitor Technologies
TensorFlow
TensorFlow is a competing deep learning framework with similar functionalities for building and training neural networks.
Caffe
Caffe is an older deep learning framework that competes with MXNet in image processing and computer vision tasks.
PyTorch
PyTorch is a competing deep learning framework with similar capabilities to MXNet for building and training neural networks.
PaddlePaddle
PaddlePaddle is a deep learning framework developed by Baidu that competes with MXNet in building and training neural networks.
Caffe2
Caffe2 was a deep learning framework that competed with MXNet. It has since been merged into PyTorch.
CNTK
CNTK (Microsoft Cognitive Toolkit) was a deep learning framework that competed with MXNet. It's now discontinued.
Theano
Theano was an early deep learning framework that competed with MXNet. It is no longer actively maintained.
Torch
Torch was a machine learning library that served as a predecessor to PyTorch. It competed with MXNet.
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MXNet Complementary Technologies
SparkML
SparkML provides a platform for distributed data processing which is complementary to MXNet's deep learning capabilities. MXNet models can be integrated into SparkML pipelines for large-scale machine learning workflows.
SciPy
SciPy is a library for scientific computing in Python that provides tools and algorithms that are complementary to MXNet for data preprocessing, analysis, and visualization.
scikit-learn
Scikit-learn is a general-purpose machine learning library that offers a wide range of algorithms which complements MXNet's deep learning focus, particularly for preprocessing, model evaluation, and simpler machine learning tasks.
Number of organizations that mention technology
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Which job functions commonly mention MXNet?
Applied Scientist
17.9% of all Applied Scientist jobs mention MXNet
View 2k
jobs on Sumble
Machine Learning
1.4% of all Machine Learning jobs mention MXNet
View 1.5k
jobs on Sumble
AI Engineer
0.5% of all AI Engineer jobs mention MXNet
View 410
jobs on Sumble
Data Scientist
0.4% of all Data Scientist jobs mention MXNet
View 1.1k
jobs on Sumble
Data, Analytics & Machine Learning
0.2% of all Data, Analytics & Machine Learning jobs mention MXNet
View 3k
jobs on Sumble
Which organizations are mentioning MXNet?
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