What is Pretrained AI?
Configure and deploy your own private, hosted API endpoints to process text, images, and other data using state-of-the-art machine learning in a few clicks. Chain together one or more models to efficiently process and extract insights from your data.
Pretrained AI is a tool in the Machine Learning Tools category of a tech stack.
Who uses Pretrained AI?
Developers
Pretrained AI's Features
- Chain multiple pretrained models together to create custom endpoints with computer vision and natural language processing
- RESTful API endpoints are built so your can dial up the throughput without worrying about performance
- Integrate state-of-the-art machine learning into your applications without spending time in the lab
- Let us handle the machine learning so you can focus on your product
Pretrained AI Alternatives & Comparisons
What are some alternatives to Pretrained AI?
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.
Keras
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
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.
Related Comparisons
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