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...