Neural

What it does

Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing (NeuralDbg), it simplifies deep learning development.

Causal debugger for PyTorch training: tells you WHY it failed (vanishing/exploding gradients, NaN, dead neurons) with layer+step root cause. One line in your loop. - LambdaSection/NeuralDBG

• 
  Neural networks tutorial series with code2020 · github.com · ▲107

  The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.

• 
  A Haskell DSL for deep learning models2015 · github.com · ▲10

  A DSL for deep neural networks, supporting Caffe and Torch - ajtulloch/dnngraph

• DT
  Detecting the Programming Language of Code Using ML and Neural Networks2016 · danielheres.space · ▲53
• 
  Single neuron neural network written in COBOL2020 · github.com · ▲94

  A perceptron written in COBOL. Contribute to victorqribeiro/perceptronCobol development by creating an account on GitHub.

• N5
  NN-512 – Generate standalone C code for neural nets2020 · nn-512.com · ▲111
• AV
  A Visual and Interactive Guide to the Basics of Neural Networks2016 · jalammar.github.io · ▲63

  Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train

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