An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
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:earth_americas: Simple and ready-to-use tutorials for TensorFlow
‼️ A complete primer on the whys and hows of todo.txt.
- todo
- todotxt
- todos
Implementing a Neural Network from Scratch
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
💬 The Step-by-Step Beginners Tutorial for Building, Testing & Deploying a Chat app in Phoenix 🚀
- phoenix
- elixir
- elixir-lang
- beginner
The ESP32-S3 bench guide as a React app: live pinout, lessons with interactive simulators, a code reader for the esp-labs firmware, and the bench log. In 11 languages.
A comprehensive guide on learning how to code cross platform mobile applications with the Flutter framework, from the ground up.
🤯 beginners tutorial building a real time counter in Phoenix + LiveView⚡️ Learn the fundamentals from first principals so you can make something amazing! 🚀
- phoenix-liveview
- counter
- tutorial
- example
A really simple ServiceWorker example, designed to be an interactive introduction to ServiceWorker
Simple Vulkan raytracing tutorials
A koan-style tutorial in Java for Neo4j
Vert.x Blueprint Project - A reactive todo-backend implementation using Vert.x and various persistence
- vertx
- restful-api
- asynchronous
- rxjava2
A list of general purpose tricks and techniques for saving tokens in PICO-8.
- pico-8
- optimization-methods
I love to teach dotnet concepts in a simple way with real world examples to people who aspire to to be a dotnet developer. I also help developers to refresh their memory with easy to understand analogy.
- dotnet
- csharp
- linq
- blazor
How to build an analytics agent that gets your business numbers right: metrics from your analysts' SQL, a golden set of real questions, improvement loops
Learn How to use Google Map API for Android from Basic to Advance with complete examples.
- maps
- android-app
- android-tutorial
- android-example
Swift playground using Logo-like commands
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
- hyperopt
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameters-optimization
A list of articles demonstrating how to do UI with ColdFusion on the back end.