What is ENorm?
A fast and iterative method for minimizing the L2 norm of the weights of a given neural network that provably converges to a unique solution.
ENorm is a tool in the Machine Learning Tools category of a tech stack.
ENorm is an open source tool with 114 GitHub stars and 13 GitHub forks. Here’s a link to ENorm's open source repository on GitHub
Who uses ENorm?
Companies
ENorm's Features
- Asymmetric scaling
- Python 3.6 and latest support
ENorm Alternatives & Comparisons
What are some alternatives to ENorm?
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
CUDA
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.
