Press ' - key to Hide/Show the right "Model" window. Set new layer number.
layer
Layer model from 'https://storage.googleapis.com/tfjs-models/tfjs/mobilenet_v1_1.0_224/model.json'
is used. Channel weights are shown similar to Data-Free Quantization.
Comments
MobileNet V1 consists of a regular 3×3 convolution as the very first layer,
followed by 13 times the depthwise separable convolution blocks (shown below).
Batch Norm equations are shown below.
Layers model has too many data used for training.
For efficient inference we shall fold convolution and batch normalization layers
(and batch norm constants) next.
