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1 vote

2 answers

590 views

Why do the training and validation loss curves diverge?

CommunityBot

1

modified 14 hours ago

2 votes

1 answer

888 views

Periodic Pattern in Validation Loss Curve

CommunityBot

1

modified Dec 3 at 18:08

2 votes

1 answer

444 views

Which epoch is the best for me to choose?

chessprogrammer

2,375

modified Dec 1 at 5:43

1 vote

3 answers

64 views

Would maximizing (instead of minimizing) error of an LLM/HMM lead to complex behavior?

BigMistake

113

answered Nov 27 at 16:53

0 votes

3 answers

59 views

My model is only improving when learning rate is 1. Should I be worried?

Root

1

answered Nov 16 at 21:45

1 vote

0 answers

35 views

Neural network learns to mimic distribution of classes in dataset instead of using signal from input

Jan Grzybek

11

asked Nov 16 at 21:02

0 votes

1 answer

34 views

What is the relation between any suitable measure of model complexity, number of training examples and network size in deep learning?

CommunityBot

1

modified Nov 16 at 7:00

0 votes

1 answer

27 views

For given units of a measure of model complexity, how many examples do we need to train a network to get the model right and generalize?

CommunityBot

1

modified Nov 16 at 6:02

1 vote

1 answer

146 views

What causes my loss curve to consistently oscillate when training an LLM?

JMarc

111

modified Nov 15 at 10:52

2 votes

1 answer

62 views

Data scan not making sense for coco dataset

CommunityBot

1

modified Nov 14 at 21:07

0 votes

0 answers

29 views

How was the word2vec model trained?

J. Doe

1

asked Nov 14 at 1:41

1 vote

1 answer

57 views

In the Dropout paper, why would increasing the dropout increase the error rate if the capacity is constant?

CommunityBot

1

modified Nov 11 at 0:09

0 votes

1 answer

401 views

How to make input variable as trainable parameter in a neural network?

CommunityBot

1

modified Nov 7 at 17:06

0 votes

0 answers

10 views

Classes definition for detecting impervious surfaces on aerial photographies

Below the Radar

101

modified Nov 6 at 14:49

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Why do the training and validation loss curves diverge?

Periodic Pattern in Validation Loss Curve

Which epoch is the best for me to choose?

Would maximizing (instead of minimizing) error of an LLM/HMM lead to complex behavior?

My model is only improving when learning rate is 1. Should I be worried?

Neural network learns to mimic distribution of classes in dataset instead of using signal from input

What is the relation between any suitable measure of model complexity, number of training examples and network size in deep learning?

For given units of a measure of model complexity, how many examples do we need to train a network to get the model right and generalize?

What causes my loss curve to consistently oscillate when training an LLM?

Data scan not making sense for coco dataset

How was the word2vec model trained?

In the Dropout paper, why would increasing the dropout increase the error rate if the capacity is constant?

How to make input variable as trainable parameter in a neural network?

Classes definition for detecting impervious surfaces on aerial photographies

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