Open alantao912 opened 5 months ago
Hello @alantao912! Thank you for submitting the Feature Request Form. We appreciate your contribution. :wave:
We will look into it and provide a response as soon as possible.
To work on this feature request, you can follow these branch setup instructions:
Checkout the main branch:
git checkout nextjs
Pull the latest changes from the remote main branch:
git pull origin nextjs
Create a new branch specific to this feature request using the issue number:
git checkout -b feature-1108
Feel free to make the necessary changes in this branch and submit a pull request when you're ready.
Best regards, Deep Learning Playground (DLP) Team
Whoever the assignee is, feel free to reach out to me for clarification.
@alantao912, how's this task coming along? what's the priority of this one?
Feature Name
Create Feedforward Neural Networks
Your Name
Alan Tao
Description
Allow users to create feed forward neural networks by clicking on 'Create Model' on the trainspace dashboard.
Clicking on the 'Create Model' button, should lead the user to a configuration screen where they should be allowed to interactively drag and drop layers to the neural network as well as modify the details of each layer including number of neurons and activation function.
The same configuration screen should also prompt the user for all of the existing parameters shown in this screenshot:![image](https://github.com/DSGT-DLP/Deep-Learning-Playground/assets/70001632/c6e25157-cf96-47cf-9321-8982a790e108)
There should be a visualization of the network's architecture that is updated in real time as the user modifies parameters/adds more layers. Something that looks similar to this:
In other words, all of the existing configuration steps when creating the current TABULAR model (excluding the dataset upload step), should be combined into a single configuration page. This is an open ended task so feel free to apply your own creativity toward designing the layout of this monolithic configuration page. PR reviewers will iteratively provide feedback.