Answers.Body: <p>I solved my problem with data augmentation and decreasing learning rate value and more epochs.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2020-11-07T07:42:15.190Z
Answers.LastActivityDate: 2020-11-07T07:42:15.190Z
Answers.UserDisplayName: SahaTib
Body: <p>I am training an AlexNet neural network, with about 12000 images which 80% is for training, 10% is for validation and another 10% is for testing.
  I have a problem in my plots. There is a big fluctuation in epoch 47,
  how can I have a smooth plot? What is the problem?</p>
  
  <p><a href="https://i.sstatic.net/qsxMe.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/qsxMe.png" alt="enter image description here"></a></p>
  
  <p>I tried to increase my validation data because the fluctuation was for validation loss. but nothing changed.
  I decreased learning rate, but it stucks in a local optimum.</p>
  
Tags: <neural-networks><deep-learning><training><alexnet><data-augmentation>
Title: What could cause a big fluctuation of the loss in the last epochs of training an AlexNet?
UserDisplayName: SahaTib
ThreadText: # What could cause a big fluctuation of the loss in the last epochs of training an AlexNet?
  
  (Asked by: username_0 on 2020-03-24)
  
  I am training an AlexNet neural network, with about 12000 images which 80% is for training, 10% is for validation and another 10% is for testing.
  I have a problem in my plots. There is a big fluctuation in epoch 47,
  how can I have a smooth plot? What is the problem?
  
  [![enter image description here](https://i.sstatic.net/qsxMe.png)](https://i.sstatic.net/qsxMe.png)
  
  I tried to increase my validation data because the fluctuation was for validation loss. but nothing changed.
  I decreased learning rate, but it stucks in a local optimum.
  
  **Tags:** neural-networks, deep-learning, training, alexnet, data-augmentation
  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_0 on 2020-11-07. Score: 0 | Accepted answer
  
  I solved my problem with data augmentation and decreasing learning rate value and more epochs.
  
  
  ---
  
  