DeepFace is now running on PyTorch alongside TensorFlow
What it is
What it does
DeepFace can now run on top of PyTorch alongside TensorFlow.
Problem
Users needed support for PyTorch as the dominant deep learning framework.
Who pays
developers and data scientists in the machine learning community
Competition
The niche is moderately saturated with deep learning frameworks, notably TensorFlow and PyTorch.
Weaknesses
default pip install command continues to install tensorflow, which may confuse users
What could be built instead
Opportunity
Improve user guidance on framework installation commands to prevent confusion.
Vertical niche
Yes, it can be a vertical SaaS for machine learning and AI development tools.
MVP
A basic library that allows users to run deep learning models using either TensorFlow or PyTorch.
Differentiation
The ability to run on both PyTorch and TensorFlow sets it apart from other frameworks.
AI opportunity
AI creates real value by offering support for the dominant deep learning frameworks.