HF RL Explorer

Task: Implement a Neural Network Architecture Estimator

Task: Implement a Neural Network Architecture Estimator: a task in Terminal-Lego-15k (Harbor dataset). Create a Python program that estimates the optimal number of hidden layers and neurons per layer for a feedforward artificial neural network, given only three inputs:

The task

Create a Python program that estimates the optimal number of hidden layers and neurons per layer for a feedforward artificial neural network, given only three inputs:

Part of PrimeIntellect/Terminal-Lego-15k.