HF RL Explorer

Task: Implement Forward and Backward Passes in a Neural Network from Scratch

Task: Implement Forward and Backward Passes in a Neural Network from Scratch: a task in Terminal-Lego-15k (Harbor dataset). Implement a simple neural network from scratch in Python that demonstrates the forward pass and backward pass (backpropagation) concepts. Your implementation should clearly…

The task

Implement a simple neural network from scratch in Python that demonstrates the **forward pass** and **backward pass** (backpropagation) concepts. Your implementation should clearly separate these two phases and train on a simple dataset.

Part of PrimeIntellect/Terminal-Lego-15k.