What is Tensorpack?
It is a Neural Net Training Interface on TensorFlow, with focus on speed + flexibility. It is a training interface based on TensorFlow, which means: you’ll use mostly tensorpack high-level APIs to do training, rather than TensorFlow low-level APIs.
Tensorpack is a tool in the Machine Learning Tools category of a tech stack.
Tensorpack is an open source tool with 6.3K GitHub stars and 1.8K GitHub forks. Here’s a link to Tensorpack's open source repository on GitHub
Who uses Tensorpack?
Developers
Tensorpack Integrations
Tensorpack's Features
- Training interface based on TensorFlow
- Focus on training speed
- Focus on large datasets
Tensorpack Alternatives & Comparisons
What are some alternatives to Tensorpack?
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
GitHub
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
