What is Backprop?
It is an API/platform that makes enhancing software with machine learning simple. With powerful out-of-the-box models, easy custom uploads, and scalable infrastructure it has everything you need.
Backprop is a tool in the Machine Learning Tools category of a tech stack.
Backprop is an open source tool with GitHub stars and GitHub forks. Here’s a link to Backprop's open source repository on GitHub
- Conversational question answering in English
- Text Classification in 100+ languages
- Image Classification
- Text Vectorisation in 50+ languages
- Image Vectorisation
- Summarisation in English
- Emotion detection in English
- Text Generation
Backprop Alternatives & Comparisons
What are some alternatives to Backprop?
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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.
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.
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
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.
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