emilwallner/Deep-Learning-101

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Jupyter Notebook
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MIT License
Created almost 7 years ago
Updated over 6 years ago

emilwallner/Deep-Learning-101

emilwallner

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The tools and syntax you need to code neural networks from day one.

Screenshot-to-code

A neural network that transforms a design mock-up into a static website.

Coloring-greyscale-images

Coloring black and white images with deep learning.

How-to-learn-Deep-Learning

A top-down, practical guide to learn AI, Deep learning and Machine Learning.

Deep-Learning-From-Scratch

Six snippets of code that made deep learning what it is today.

Jupyter Notebook

Corewar

A reproduction of the Core War game. Assembly compiler, Virtual Machine and GUI.

Emil-Wallner-LinkedIn-Resume

A quick overview of my background and past projects.

Tetris-

A bin-packing algorithm to fit Tetris pieces into a box, using recursive backtracking.

Lem-in-Checker

A unit test to check error cases for ant simulations. A Shell script.

Bodleian

A reproduction of 52 standard functions in C.

minimalblog

game

open_project

Code synthesis and self-play with reinforcement learning

Gutenberg

A reproduction of C's printf from scratch. Unicode, Data types, Casting and Bitwise operations.

benchmarks

Benchmarks to assess intelligence of AI generated programs

Jupyter Notebook

emilwallner

ai-players

Lisa

Creating 3D models from a pixel. Isometric projection and Bresenham's line algorithm.