Ne
New Visual Data Preprocessor for Neural Nets with Perceptron Project
New Visual Data Preprocessor for Neural Nets with Perceptron Project
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
31%31% predicted probability of success on BetaList, based on ML models trained on real launch data.
17%17% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Ne
Neural ALU Implemented in X86 Assembly75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Neural ALU Implemented in X86 Assembly
Ne
Neural-hash-collider – Find target hash collisions for NeuralHash53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Neural-hash-collider – Find target hash collisions for NeuralHash
Ne
Neural Particle Automata59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Neural Particle Automata
Ji
Jixp, a Lisp DSL for describing Jax neural nets59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Jixp, a Lisp DSL for describing Jax neural nets
L&T Thanisandra77%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
L&T Thanisandra New Residential Project.
Sudopoint24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Get example data for your next project
Vi
Visual Neural Network IDE for PyTorch71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Visual Neural Network IDE for PyTorch
Vi
Visual Lambda Calculus – a thesis project (2008) revived for the web51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Visual Lambda Calculus – a thesis project (2008) revived for the web
Fa
Fast Newton's Method for Neural Nets, with Finite Difference43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Fast Newton's Method for Neural Nets, with Finite Difference
Se
SetupMyProject – A tool to configure your new java project44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
SetupMyProject – A tool to configure your new java project