ML Prep

Dense-network parameter count

Problem

Count trainable scalar parameters in a fully connected network with 1010 inputs, one hidden layer of 55 units with biases, and an output layer of 33 units with biases.

Reveal answer or reference solution

Input-to-hidden has 10×5+5=5510\times5+5=55 parameters. Hidden-to-output has 5×3+3=185\times3+3=18. The total is 7373.

Local history

Loading attempts saved in this browser…

    Use with your agent

    Share this URL and your attempt. Ask the agent to start with a clarifying question or the smallest useful hint.

    Tutor me on https://mlprep.iwase.dev/item/original-ml-network-params/. If window.mlPrepAgent is available, read attempts for item original-ml-network-params before tutoring. Inspect my attempt, keep the item ID, and do not reveal the full answer first. After a real attempt, append its record with recorded_by agent, include agent_session_id when available, and read it back.

    Appears in