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blegat / ArrayDiff.jl Public

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Add L2 loss to neural network example#38

Merged

blegat merged 21 commits intomainblegat/ArrayDiff.jl:mainfrom

claude/add-l2-loss-neural-LqaIXblegat/ArrayDiff.jl:claude/add-l2-loss-neural-LqaIXCopy head branch name to clipboard

Apr 3, 2026

Conversation Commits21 (21)Checks Files changed

Merged

Add L2 loss to neural network example#38
blegat merged 21 commits intomainfrom
claude/add-l2-loss-neural-LqaIX

Commits

Commits on Apr 2, 2026

Add L2 loss to neural network example
claude
committed
Add tests for binary broadcasting, norm, and L2 loss
claude
committed
Add LinearAlgebra to package dependencies
claude
committed

Commits on Apr 3, 2026

Remove @objective call unsupported with array expressions
claude
committed
Fix method ambiguity with JuMP's norm for AbstractJuMPScalar arrays
claude
committed
Define norm for concrete types to avoid ambiguity
claude
committed
Temporarily remove new tests to isolate failure
claude
committed
Add back tests with import at module level
claude
committed
Test only norm to isolate failure
claude
committed
Add back test_binary_broadcasting to isolate failure
claude
committed
Add back test_l2_loss to isolate failure
claude
committed
Simplify test_l2_loss to isolate exact failure point
claude
committed
Minimal test_l2_loss: broadcast GenericArrayExpr .- Matrix
claude
committed
Full test_l2_loss with neural net forward pass
claude
committed
Split test_l2_loss into simple and tanh variants
claude
committed
Add test_l2_loss_nested: W2 * tanh.(W1 * X) .- Y
claude
committed
Full assertions in test_l2_loss_nested
claude
committed
Minimal norm test on nested broadcast result
claude
committed
Test manual NonlinearExpr creation to isolate norm dispatch issue
claude
committed
Add _is_real for GenericArrayExpr and restore full tests
claude
committed
Remove debug test functions
claude
committed

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