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Loss not evolving when using skip connections

score 584 · Answer 1 · 2024-09-15 10:01:44

584 views Asked by Nathan Hubens At 15 September 2024 at 10:01

score 7877 · Answer 2 · 2024-09-15 10:04:28

What is "linear projection" in convolutional neural network

score 17534 · Answer 3 · 2024-09-16 17:19:07

What is the idea behind using nn.Identity for residual learning?

score 84 · Answer 4 · 2024-09-15 10:04:27

model diagnosis in GLMM model of binary outcome variable

score 50 · Answer 5 · 2024-09-15 10:09:40

Given groups=1, weight of size [8, 3, 3, 3], expected input[1, 1000, 28, 28] to have 3 channels, but got 1000 channels instead

score 7411 · Answer 6 · 2024-09-16 21:12:23

How to implement a 1D convolutional neural network with residual connections and batch-normalization in Keras?

score 81 · Answer 7 · 2024-09-15 19:24:44

Why does the accuracy fluctuate widely after using batch normalization

score 1093 · Answer 8 · 2024-09-15 10:09:39

RuntimeError: Expected 4-dimensional input for 4-dimensional weight [1024, 64, 3, 3], but got input of size [32, 10] instead

score 720 · Answer 9 · 2024-09-16 20:20:18

720 views Asked by Jim Björklund At 16 September 2024 at 20:20

score 117 · Answer 10 · 2024-09-18 13:05:22

How can I use the Edmonds & Karp Algorithm for residual graph

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