Phase 7 · Deep Learning Foundations

Projects

Neural Network from Scratch (NumPy)

Part of the AI Engineer Roadmap.

Summary

Implementing forward pass, backward pass and gradient descent using only NumPy — the single best exercise for truly understanding what frameworks automate for you.

How to Learn This

  • 1Implement a 2-layer network with manual forward and backward passes.
  • 2Verify your manual gradients against PyTorch's autograd on the same inputs.
  • 3Train it on a toy dataset and confirm the loss decreases correctly.

More projects in Deep Learning Foundations

InsideEdge

Stuck on this topic? Ask an Insider

Get 1:1 guidance from people who've walked this exact path — free on the InsideEdge app.

Download
InsideEdge