What is TensorFlow.js?
TensorFlow.js is a tool in the Machine Learning Tools category of a tech stack.
TensorFlow.js is an open source tool with 12.2K GitHub stars and 983 GitHub forks. Here’s a link to TensorFlow.js's open source repository on GitHub
Who uses TensorFlow.js?
14 companies reportedly use TensorFlow.js in their tech stacks, including 8villages, Crowd Emotion Ltd, and ADEXT.
45 developers on StackShare have stated that they use TensorFlow.js.
Why developers like TensorFlow.js?
Here’s a list of reasons why companies and developers use TensorFlow.js
TensorFlow.js Alternatives & Comparisons
What are some alternatives to TensorFlow.js?
See all alternatives
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.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.