Need advice about which tool to choose?Ask the StackShare community!
Keras vs MXNet: What are the differences?
What is Keras? Deep Learning library for Theano and TensorFlow. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/.
What is MXNet? A flexible and efficient library for deep learning. A deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity. At its core, it contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations on the fly.
Keras and MXNet belong to "Machine Learning Tools" category of the tech stack.
Some of the features offered by Keras are:
- neural networks API
- Allows for easy and fast prototyping
- Convolutional networks support
On the other hand, MXNet provides the following key features:
- Lightweight
- Portable
- Flexible distributed/Mobile deep learning
Keras and MXNet are both open source tools. It seems that Keras with 43.2K GitHub stars and 16.5K forks on GitHub has more adoption than MXNet with 17.5K GitHub stars and 6.21K GitHub forks.
Pros of Keras
- Quality Documentation8
- Supports Tensorflow and Theano backends7
- Easy and fast NN prototyping7
Pros of MXNet
- User friendly2
Sign up to add or upvote prosMake informed product decisions
Cons of Keras
- Hard to debug4
