How to use trained neural network using new data

28 次查看（过去 30 天）
AHMAD FATHURRAHMAN
AHMAD FATHURRAHMAN 2023-1-15
评论： Max Newman 2024-6-4
Hello esteemed friends, I need help. How can I use neural network to generate an output using 2 or 3 random new input data on trained neural network? For example using the abalone_dataset, I would train the neural network using input data (length, diameter, height, etc.) and the target data. After that, using only 2 to 3 input data (length and height only) to generate an output using the trained neural network.
  3 个评论
显示 1更早的评论
AHMAD FATHURRAHMAN
AHMAD FATHURRAHMAN 2023-1-16
I'm still new to the neural network but if the Deep Network Designer can satisfied with the requirements that I need. I really appreciate if you can show me the way.
Rajeev
Rajeev 2023-1-16
Based on what you have mentioned, you are trying to exploit 'transfer learning'.
You can refer to this link Get Started with Transfer Learning - MATLAB & Simulink (mathworks.com) to know more about it.
If you already have a pre-trained model, you can import it to the Deep Network Designer and modify the classification and output layers to get the output for your data.
Can you share the trained model that you want to modify?

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Varun Sai Alaparthi
Hello Ahmad,
I understand that you are looking for ways to get output from your trained model by giving random inputs. The function depends on your network type.
If you are using a shallow network, you can directly do
Output = net(X);
If you are using ‘dlnetwork’ or a network trained using ‘trainNetwork’ you can use the ‘predict’ function to get the output.
Output = predict(net,images);
If you have any further queries, please feel free to reply to my answer. 
Sincerely,
Varun
  1 个评论
Max Newman
Max Newman 2024-6-4
I trained a signal classifier but when I use predict it says that the "The input images must have a size of [96 64 1]." How can I use a trained network on signal data.

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Deep Learning Toolbox 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by