What is Neural Network Dashboard?
A no-code dashboard for building and training neural networks on image and tabular data. Supports layer editing, real-time loss plots, PCA-based 3D loss descent, and model downloads. Built for ML learners, teachers, and fast prototyping.
Problem
Users need to build and train neural networks using traditional frameworks like TensorFlow or PyTorch, requiring programming skills and manual setup, which limits accessibility for non-coders and slows prototyping.
Solution
A no-code dashboard enabling users to build, train, and visualize neural networks through an intuitive interface. Examples: edit layers, view real-time loss plots, and download trained models without coding.
Customers
ML learners, educators, and professionals (students, teachers, data scientists) seeking hands-on neural network experimentation without coding barriers.
Unique Features
Real-time 3D PCA loss visualization, no-code layer customization, downloadable trained models for deployment, and image/tabular data support.
User Comments
Simplifies ML education
Visualizations aid understanding
Saves time for prototyping
Great for teaching
Lacks advanced customization
Traction
Launched recently with 2k+ users on ProductHunt, featured in ML educational communities, and actively updated with new data-type support.
Market Size
The global machine learning market is projected to grow from $15.5 billion in 2021 to $209.91 billion by 2029 (Fortune Business Insights).
