<p>I solved my problem with data augmentation and decreasing learning rate value and more epochs.</p>

CC BY-SA 4.0
2020-11-07T07:42:15.190Z
2020-11-07T07:42:15.190Z
SahaTib
<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>

<neural-networks><deep-learning><training><alexnet><data-augmentation>
What could cause a big fluctuation of the loss in the last epochs of training an AlexNet?
SahaTib
# 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


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## 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.


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