### Measuring the similarity of books using TF-IDF, Doc2vec and TensorFlow

In this week’s machine learning adventure we shall be measuring the similarity of books using TF-IDF, doc2vec and TensorFlow. The full source code is available to download in my Gist.…

### Generating Aesop's Fables One Character at a Time...

Note: The supporting code for this blog post can be found on GitHub. I must admit, I'm a fan of Aesop's Fables. These are a collection of fables credited to Aesop, a slave and storyteller believed…

### Fisher Iris Dataset Classification with Torch

Note: The code supporting this post can be found on GitHub. For people interested in deep learning, there's never been a better selection of open-source frameworks available. I recently took some…

### Baidu Open-Sources AI Secrets

Baidu (the Chinese Google) has just released its WARP-CTC library on GitHub under an open-source Apache licence. CTC is an objective function that can be used for the supervised training of sequence…

### From Neural Networks to Deep Learning

A few years ago, I began blogging about Neural Networks. I have had an interest in this side of machine learning for more time than I can remember. However, even though these amazingly useful…

### Self Organising Map C#

In this post, I shall be discussing Self Organising Maps (SOM), which are also known as Kohonen maps or topographical maps. Until now, all of my posts have focussed on supervised learning, i.e. we…

### Back Propagation Multi-Output Neural Network C#

In this post, I publish an updated version of my multi-layer Perceptron - new features and improvements include: A graphical representation of network activity The ability to handle multiple network…

### Train Neural Networks with Back Propagation C#

In my previous post, I showed how multi layer Perceptrons could be used to solve linearly non-separable problems. In that example, I calculated all the network weights by hand. In this post, I shall…

### Hidden Neurons and Feature Space

In this post, I continue on the journey to solve linearly non-separable problems using the Multi Layer Perceptron. I will be using the same problem that I introduced last week. The network I will be…

### The Sigmoid Function C#

In my last post, I discussed the Single Layer Perceptron and its limitations regarding solving linearly non-separable problems. If we are to solve this type of problem, then we need a more…