Inspiration
Our main driving inspiration for this project was our keen interest in machine learning. This lead to the thought process of referencing the block coding structure of Scratch and Microbit and figuring out a way in which we are able develop a program that uses block coding for teaching neural network structures.
What it does
What it does for the users is that it handles all the technical computations such as training, evaluating, and coding on its own as long as the user makes a change to the neural network structure or submit new input properties.
How we built it
We planned out in advance the structure of the full stack web application using python flask in the backend with html and javascript in the front. We used tensor flow to build the model.
Challenges we ran into
We found that due to our groups collective experience building a drag and drop interface in js was tricky. we didn't have time to fully debug the program
Accomplishments that we're proud of
What we learned
We learned loads about programming and team work
What's next for NeuralLearn
One of our members may take this idea further in a separate independant project.
Built With
- flask
- html
- https
- javascript
- tensorflow
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