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ENorm
ByENormENorm

ENorm

#105in Development & Training Tools
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Followers9
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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 Development & Training Tools category of a tech stack.

Key Features

Asymmetric scalingPython 3.6 and latest support

ENorm Pros & Cons

Pros of ENorm

No pros listed yet.

Cons of ENorm

No cons listed yet.

ENorm Alternatives & Comparisons

What are some alternatives to ENorm?

TensorFlow

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

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

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

Keras

Keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/

CUDA

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.

Streamlit

Streamlit

It is the app framework specifically for Machine Learning and Data Science teams. You can rapidly build the tools you need. Build apps in a dozen lines of Python with a simple API.

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