ForestCurveFit. A kind of neuralnet that runs in browser where each node smoothly chooses between many neural activation functions (sine tanh log exp + * arcsine etc) and is trained without backprop, instead using calculus directly on the sum of squared loss of all weights and all training data at once. Not GPU optimized yet.

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.