CommunityNews
Building A Neural Network in Pure Lisp without Built-in Numbers using only Atoms and Lists
Building a Neural Network in Pure Lisp without Built-in Numbers using only Atoms and Lists.
A neural network written in pure Lisp without built-in numbers using only atoms and lists in SectorLISP, a 512-byte Lisp interpreter written by the authors of the SectorLISP project.
Read in full here:
This thread was posted by one of our members via one of our news source trackers.
Popular Backend topics
New
A new study looks into the dematerialized office, where sensorial experiences such as touch, taste, smell, and sensations of hot or cold ...
New
This blog post walks you through how to implement a time-series database engine based on what I’ve learned from my experience of writing ...
New
In recent months I use Go for the implementation of Proof of Concept in my leisure time, partly to study of Go programming language itsel...
New
What we can learn from “_why” the long lost open source developer…
Code might not last forever, but _why proves you can have an impact t...
New
Rubinius began as a metacircular implementation of Ruby and was billed as Ruby in Ruby. Today the core and much of the standard library, ...
New
GitHub - nanobowers/py2cr: Python3 to Crystal Translation using Python AST Walker.
Python3 to Crystal Translation using Python AST Walke...
New
Building a Neural Network in Pure Lisp without Built-in Numbers using only Atoms and Lists.
A neural network written in pure Lisp withou...
New
GitHub - redneckbeard/thanos: Ruby → Go at the snap of your fingers.
Ruby → Go at the snap of your fingers. Contribute to redneckbeard/t...
New
clog/LEARN.md at main · rabbibotton/clog.
CLOG - The Common Lisp Omnificent GUI. Contribute to rabbibotton/clog development by creating ...
New
Other popular topics
Hello Devtalk World!
Please let us know a little about who you are and where you’re from :nerd_face:
New
Learn from the award-winning programming series that inspired the Elixir language, and go on a step-by-step journey through the most impo...
New
Design and develop sophisticated 2D games that are as much fun to make as they are to play. From particle effects and pathfinding to soci...
New
Bought the Moonlander mechanical keyboard. Cherry Brown MX switches. Arms and wrists have been hurting enough that it’s time I did someth...
New
Thanks to @foxtrottwist’s and @Tomas’s posts in this thread: Poll: Which code editor do you use? I bought Onivim! :nerd_face:
https://on...
New
New
Do the test and post your score :nerd_face:
:keyboard:
If possible, please add info such as the keyboard you’re using, the layout (Qw...
New
In case anyone else is wondering why Ruby 3 doesn’t show when you do asdf list-all ruby :man_facepalming: do this first:
asdf plugin-upd...
New
Think Again 50% Off Sale »
The theme of this sale is new perspectives on familiar topics.
Enter coupon code ThinkAgain2021 at checkout t...
New
Create efficient, elegant software tests in pytest, Python's most powerful testing framework.
Brian Okken @brianokken
Edited by Kat...
New
Categories:
Sub Categories:
Popular Portals
- /elixir
- /rust
- /ruby
- /wasm
- /erlang
- /phoenix
- /keyboards
- /python
- /js
- /rails
- /security
- /go
- /swift
- /vim
- /clojure
- /emacs
- /java
- /haskell
- /svelte
- /onivim
- /typescript
- /kotlin
- /crystal
- /c-plus-plus
- /tailwind
- /react
- /gleam
- /ocaml
- /flutter
- /elm
- /vscode
- /ash
- /html
- /opensuse
- /centos
- /zig
- /deepseek
- /php
- /scala
- /react-native
- /textmate
- /lisp
- /sublime-text
- /debian
- /nixos
- /agda
- /kubuntu
- /django
- /arch-linux
- /deno
- /revery
- /ubuntu
- /nodejs
- /spring
- /manjaro
- /lua
- /diversity
- /julia
- /markdown
- /c








