TensorFlow
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CommentsWhat is TensorFlow.js?
Use flexible and intuitive APIs to build and train models from scratch using the low-level JavaScript linear algebra library or the high-level layers API
TensorFlow.js is a tool in the Development & Training Tools category of a tech stack.
TensorFlow.js Pros & Cons
Pros of TensorFlow.js
- ✓Open Source
- ✓NodeJS Powered
- ✓Deploy python ML model directly into javascript
- ✓Can run TFJS on backend, frontend, react native, + IOT
- ✓Cost - no server needed for inference
- ✓Easy to share and use - get more eyes on your research
- ✓Privacy - no data sent to server
- ✓Runs Client Side on device
Cons of TensorFlow.js
No cons listed yet.
TensorFlow.js Alternatives & Comparisons
What are some alternatives to TensorFlow.js?
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.
