MobileNetV2's bottleneck weight records #
IVW (expand ic→mid 1×1, depthwise 3×3, project mid→oc 1×1, per-channel BN after each) and
IVWNoExp (the t=1 first bottleneck: no expand conv). They hold kernels, epsilons, gammas and
betas — nothing that knows which BatchNorm world reduces them — so the batch-BN net
(MobileNetV2FullB.lean, MNV2BWeights) and its step tie bind them. IVPos / IVNoExpPos
are their BN-epsilon positivity bundles.
Paper [t,c,n,s] spec (stem 3×3-s2 3→32; head 1×1 320→1280 → GAP → dense):
(1, 16,1,1) (6, 24,2,2) (6, 32,3,2) (6, 64,4,2) (6, 96,3,1) (6,160,3,2) (6,320,1,1)
Per-block (ic→oc, mid=t·ic, spatial, kind):
b1 32→16 mid32 @112 noExp(t=1) b10 64→64 mid384 @14 resid
b2 16→24 mid96 112→56 strided b11 64→96 mid384 @14 exp(no-resid, s=1)
b3 24→24 mid144 @56 resid b12 96→96 mid576 @14 resid
b4 24→32 mid144 56→28 strided b13 96→96 mid576 @14 resid
b5 32→32 mid192 @28 resid b14 96→160 mid576 14→7 strided
b6 32→32 mid192 @28 resid b15 160→160 mid960 @7 resid
b7 32→64 mid192 28→14 strided b16 160→160 mid960 @7 resid
b8 64→64 mid384 @14 resid b17 160→320 mid960 @7 exp(no-resid, s=1)
b9 64→64 mid384 @14 resid
Weights of one MobileNetV2 bottleneck (expand ic→mid 1×1, depthwise 3×3,
project mid→oc 1×1, per-channel BN after each).
- eW : Kernel4 mid ic 1 1
- eb : Vec mid
- eε : ℝ
- eγ : Vec mid
- eβ : Vec mid
- dW : DepthwiseKernel mid 3 3
- db : Vec mid
- dε : ℝ
- dγ : Vec mid
- dβ : Vec mid
- pW : Kernel4 oc mid 1 1
- pb : Vec oc
- pε : ℝ
- pγ : Vec oc
- pβ : Vec oc