Neural Networks
Practice forward computation, backpropagation, activation behavior, and parameter counting.
Use https://mlprep.iwase.dev/practice/machine-learning/neural-networks/. This is a Practice set, not a Screening result. If window.mlPrepAgent is available, read local attempt history before planning. Help me work through the set without revealing full answers first, and save each real attempt through the bridge with recorded_by agent and agent_session_id when available.Recommended resources
- Machine Learning Crash Course — Google for Developers
- Probabilistic Machine Learning: An Introduction — online draft dated 2025-04-18 — Kevin P. Murphy and MIT Press
- MIT 6.036 Introduction to Machine Learning Exams — Massachusetts Institute of Technology
Instructions
- Draw the scalar computational graph for backpropagation.
Ordered items
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Completion
Compute one forward and backward pass and count parameters by layer.