Dan Shiebler

When you think about the most important fields of mathematics for a data scientist to know, you’ll almost certainly name calculus, probability/statistics, and linear algebra. These fields form the underpinnings of the most popular data analysis, signal processing and machine learning techniques. But in my experience, I’ve found that there... [Read More]

In this post I’m going to share a simple method that will turn any list comprehension into a high performance parallel job with a progress bar. tqdm If you are a python programmer who hasn’t worked with tqdm before, I’m about to change your life. With just 6 characters, tqdm... [Read More]

Welcome to part 2 of the Musical TensorFlow series! In the last post, we built an RBM in TensorFlow for making short pieces of music. Today, we’re going to learn how to compose longer and more complex musical pieces with a more involved model: the RNN-RBM. To warm you up,... [Read More]

Generative models are awesome. TensorFlow is awesome. Music is awesome. In this post, we’re going to use TensorFlow to build a generative model that can create snippets of music. I’m going to assume that you have a pretty good understanding of neural networks and backpropagation and are at least a... [Read More]