1 comment on “Drawing with Voice – Speech Recognition with TensorFlow.js”

Drawing with Voice – Speech Recognition with TensorFlow.js

When I was a kid every almost every superhero had a voice-controlled computer. So you can imagine how my first encounter with Alexa was a profound experience for me. The kid in me was so happy and excited. Of course, then my engineering instincts kicked in and I analyzed how these devices work. Turned out they have neural networks that handle this complicated problem.

2 comments on “Introduction to Tensorflow.js with Real-World Example”

Introduction to Tensorflow.js with Real-World Example

The code that accompanies this article can be downloaded here. Open-source library TensorFlow.js was introduced about a year ago. However, I didn't manage to try it out up until now. In this article, we are going to get to know how…

0 comments on “Generating Images using Adversarial Autoencoders and Python”

Generating Images using Adversarial Autoencoders and Python

When they were first presented back in 2014., Generative Adversarial Networks (GAN) took the world of Deep Learning by storm. Their two folded architecture opened up the path to many creative solutions and combinations. Even Yann LeCun concluded that this is “the most interesting idea in the last 10 years in Machine Learning”.  Since then, GAN zoo grew a lot. New architectures that harvest this adversarial premise are created on a regular basis. One of those solutions is Adversarial Autoencoders (AAE).