Category: Neural Nets

A Deep Learning Tutorial: From Perceptrons to Deep Networks

In recent years, there’s been a resurgence in the field of Artificial Intelligence. It’s spread beyond the academic world with major players like Google, Microsoft, and Facebook creating their own research teams and making some impressive acquisitions. Some this can

You can now Build your own 3D Digital Face Emoji using Deep Learning

Overview The deep learning model can build a remarkably accurate facial and hair 3D digital avatar Buit using an extremely deep neural network with over 50 layers Over 40,000 images of various hairstyles used to train the neural network Check

Deep Learning Achievements Over the Past Year

Great developments in text, voice, and computer vision technologies At Statsbot, we’re constantly reviewing the deep learning achievements to improve our models and product. Around Christmas time, our team decided to take stock of the recent achievements in deep learning

Implementing a Neural Network from Scratch in Python – Denny Britz

In this post we will implement a simple 3-layer neural network from scratch. We won’t derive all the math that’s required, but I will try to give an intuitive explanation of what we are doing. I will also point to

Deep Learning for Computer Vision (Andrej Karpathy, OpenAI)

The talks at the Deep Learning School on September 24/25, 2016 were amazing. I clipped out individual talks from the full live streams and provided links to each below in case that’s useful for people who want to watch specific

Hacker’s guide to Neural Networks – Andrej Karpathy

Hacker’s guide to Neural Networks Hi there, I’m a CS PhD student at Stanford. I’ve worked on Deep Learning for a few years as part of my research and among several of my related pet projects is ConvNetJS – a Javascript library for

How to build your own Neural Network from scratch in Python

A beginner’s guide to understanding the inner workings of Deep Learning

Introduction to Neural Networks with the Math

A Brief Introduction to Neural Networks – David Kriesel

Neral Networks – Introduction