For Machine Learning Beginners: A Source for Core Concepts

For Machine Learning...

To solve machine learning problems, there is a wide range of different techniques and methods required, some suited better than others. As a data scientist it can be difficult to encapsulate all of them, and choose which work best for specific scenarios. If one is starting out in this space, it suits to understand the […]

Introduction to Learning to Trade with Reinforcement Learning

Introduction to Lear...

Thanks a lot to @aerinykim, @suzatweet and @hardmaru for the useful feedback! The academic Deep Learning research community has largely stayed away from the financial markets. Maybe that’s because the finance industry has a bad reputation, the problem doesn’t seem interesting from a research perspective, or because data is difficult and expensive to obtain. In this post, I’m going to argue […]

Choosing the right activation function in a neural network

Choosing the right a...

Choosing the right activation function in a neural network Activation functions are one of the many parameters you must choose to gain optimal success and performance with your neural network. In this article I’m going to assume you understand the basics of how a neural network works, and will cover specifically the process involving activation, […]

GANs explained. Generative Adversarial Networks applied to Generating Images

GANs explained. Gene...

Editor’s note: Guest post co-writer Arash Delijani.  In this article, I’ll talk about Generative Adversarial Networks, or GANs for short. GANs are one of the very few machine learning techniques which has given good performance for generative tasks, or more broadly unsupervised learning. In particular, they have given splendid performance for a variety of image […]

Neural Networks and art: Music, Painting and Poetry

Neural Networks and ...

Recently, I have been exploring the creative side of artificial neural networks. People have been wondering what these mysterious models can come up with, and this creativity is the controversial side of artificial intelligence; the side that some people fear. The art industry seem to feel immune to the idea that AI could replace all […]

Catching up with Ryan Compton, Head of Applied Machine Learning at Clarifai

Catching up with Rya...

Okay. So, give us a little preview of the talk and the sort of the topics you’re hitting. Basically what it is, is over the course of the past twenty or thirty years, we’ve been having these problems where you have a computer, it’s connected to a network, suddenly people start uploading porn, and people […]

Understanding and optimizing neural network hyperparameters part 3: Other parameters, and optimizing

Understanding and op...

Understanding and Optimizing Neural Network Hyperparameters Series The learning rate The Neurons Other parameters, and optimizing   In the other parts I have explained the main hyperparameters used to train a neural network, and how they can contribute to the networks success. However, optimizing these values can be tedious. Once the correct combination of all […]

Understanding and Optimizing Neural Network Hyperparameters part 2: The Neurons

Understanding and Op...

Intro In this part 2 will discuss how neural nets are structured, how the structure can affect the success of a model, and why. The actual design of a neural network is very much determined by the data that’s supplied. You will already know how outside layers are formed, where each bit of data is […]

Understanding and optimizing neural network hyperparameters part 1: The learning rate

Understanding and op...

Introduction to the series When first trying to understand a neural network, one of the most debated and perhaps mysterious aspects of them are the parameters that contribute to their success. These parameters are for you to ultimately decide. As it stands, they tend to be determined by obvious methods of tuning, and trial and […]