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Loss not evolving when using skip connections

score 657 · Answer 1 · 2017-08-31T07:55:29.787000

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Loss not evolving when using skip connections

657 views Asked by Nathan Hubens At 31 August 2017 at 07:55

score 7935 · Answer 2 · 2017-09-08T16:54:39.503000

What is "linear projection" in convolutional neural network

7.9k views Asked by Troy At 08 September 2017 at 16:54

score 17593 · Answer 3 · 2020-10-06T16:08:24.920000

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

17.5k views Asked by rocksNwaves At 06 October 2020 at 16:08

score 128 · Answer 4 · 2023-11-04T08:01:55.727000

model diagnosis in GLMM model of binary outcome variable

128 views Asked by Sofonias Derso At 04 November 2023 at 08:01

score 99 · Answer 5 · 2023-11-20T17:04:29.063000

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

99 views Asked by Владислав Тыкающий At 20 November 2023 at 17:04

score 7456 · Answer 6 · 2018-09-24T01:50:42.273000

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

7.4k views Asked by JPM At 24 September 2018 at 01:50

score 126 · Answer 7 · 2022-12-29T02:09:04.277000

Why does the accuracy fluctuate widely after using batch normalization

126 views Asked by QZero At 29 December 2022 at 02:09

score 1142 · Answer 8 · 2020-07-16T01:32:00.447000

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

1.1k views Asked by Khawar Islam At 16 July 2020 at 01:32

score 788 · Answer 9 · 2020-07-15T15:29:06.283000

Modifying residual LSTM

788 views Asked by Jim Björklund At 15 July 2020 at 15:29

score 177 · Answer 10 · 2021-01-25T11:12:05.097000

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

177 views Asked by none_kak At 25 January 2021 at 11:12

score 910 · Answer 11 · 2021-01-30T09:07:27.760000

Building a dense residual network with keras

910 views Asked by johnnyp At 30 January 2021 at 09:07

score 157 · Answer 12 · 2022-06-09T08:15:56.000000

ValueError: Shapes (None, 14065, 17) and (None, 17) are incompatible

157 views Asked by Eduard At 09 June 2022 at 08:15

score 206 · Answer 13 · 2022-11-23T22:48:15.103000

Gated Residual and Variable Selection Networks for regression

206 views Asked by Caterina At 23 November 2022 at 22:48

score 87 · Answer 14 · 2022-11-27T18:31:04.030000

how to properly define the tf.Variable if I have a number of blocks

87 views Asked by jessie At 27 November 2022 at 18:31

score 259 · Answer 15 · 2020-03-28T07:03:42.690000

Residual Network : Operands could not be broadcast together with shapes (128, 128, 16) (126, 126, 16)

259 views Asked by hamzaca At 28 March 2020 at 07:03

score 1464 · Answer 16 · 2020-03-27T15:50:23.727000

Good training accuracy but poor validation accuracy

1.4k views Asked by Riley K At 27 March 2020 at 15:50

score 8257 · Answer 17 · 2017-07-15T22:27:19.433000

Is it possible to have non-trainable layer in Keras?

8.2k views Asked by Dims At 15 July 2017 at 22:27

score 732 · Answer 18 · 2017-10-09T05:09:59.893000

Clarification on NN residual layer back-prop derivation

732 views Asked by Jacob Statnekov At 09 October 2017 at 05:09

score 374 · Answer 19 · 2017-12-22T05:14:02.497000

Implementing residual block

374 views Asked by rodrigo-silveira At 22 December 2017 at 05:14

score 4185 · Answer 20 · 2021-03-01T00:50:15.410000

cannot import name 'Deconvolution2D' from 'keras.layers'

4.1k views Asked by Chris At 01 March 2021 at 00:50

TechQA.

List Question

Loss not evolving when using skip connections

What is "linear projection" in convolutional neural network

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

model diagnosis in GLMM model of binary outcome variable

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

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

Why does the accuracy fluctuate widely after using batch normalization

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

Modifying residual LSTM

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

Building a dense residual network with keras

ValueError: Shapes (None, 14065, 17) and (None, 17) are incompatible

Gated Residual and Variable Selection Networks for regression

how to properly define the tf.Variable if I have a number of blocks

Residual Network : Operands could not be broadcast together with shapes (128, 128, 16) (126, 126, 16)

Good training accuracy but poor validation accuracy

Is it possible to have non-trainable layer in Keras?

Clarification on NN residual layer back-prop derivation

Implementing residual block

cannot import name 'Deconvolution2D' from 'keras.layers'

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