HF RL Explorer

Task: Implement and Compare SGD and Backpropagation in a Neural Network

Task: Implement and Compare SGD and Backpropagation in a Neural Network: a task in Terminal-Lego-15k (Harbor dataset). Stochastic Gradient Descent (SGD) and Backpropagation are two distinct but related concepts in neural network training. Your task is to demonstrate a clear understanding of the…

The task

Stochastic Gradient Descent (SGD) and Backpropagation are two distinct but related concepts in neural network training. Your task is to demonstrate a clear understanding of the difference by implementing a simple neural network from scratch (without deep learning frameworks like PyTorch or TensorFlow) that explicitly…

Part of PrimeIntellect/Terminal-Lego-15k.