## Adversarial Examples - Rethinking the Definition

Adversarial examples are a large obstacle for a variety of machine learning systems to overcome. Their existence shows the tendency...

## Understanding Neural Architecture Search

Introduction For the past couple of years, researchers and companies have been trying to make deep learning more accessible to...

## Early Stopping and its Faults

Introduction Seeing as how the last few posts have been a bit theoretical in nature, I thought it might be...

## Universal Approximation Theorem - Part 3

Introduction It’s been too long since my last post, so expect to see a chain of new posts in the...

## Universal Approximation Theorem - Part 2

Introduction In today’s post, we look at fitting a quartic function. Furthermore, we’re going to take a look at how...

## Universal Approximation Theorem - Part 1

Introduction Early on in my deep learning studies, I heard something along the lines of: neural networks are universal function...

## Text Variational Autoencoder in Keras

Welcome back guys. Today brings a tutorial on how to make a text variational autoencoder (VAE) in Keras with a...