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Table 1 The tiny VGG

From: Understanding deep learning via backtracking and deconvolution

ConvNet configuration

Input

224 × 224 × 3

Conv

Receptive field

Stride

Padding

Feature map

3 × 3

1

1

32

Conv

Receptive field

Stride

Padding

Feature map

3 × 3

1

1

32

Maxpool

Filter

Stride

2 × 2

2

Conv

Receptive field

Stride

Padding

Feature map

3 × 3

1

1

32

Conv

Receptive field

Stride

Padding

Feature map

3 × 3

1

1

32

Maxpool

Filter

Stride

2 × 2

2

Conv

Receptive field

Stride

Padding

Feature map

3 × 3

1

1

32

Conv

Receptive field

Stride

Padding

Feature map

3 × 3

1

1

32

Maxpool

Filter

Stride

2 × 2

2

FC

1024

FC

512

FC

256

FC

No. of classes

Softmax