How does Deep Learning overcome this hurdle in machine learning and why?
Continue reading What Killed the Curse of Dimensionality?Getting Started with Sonnet, Deep Mind’s Deep Learning Library
Overview
Deep Mind released a new library built on top of TensorFlow that abstracts building a network into simpler blocks. Available here: https://github.com/deepmind/sonnet This library was released April 6th and already has 3000 stars on github (checked April 10th).
Continue reading Getting Started with Sonnet, Deep Mind’s Deep Learning Library
TensorFlow in a Nutshell — Part Three: All the Models
Overview
In this installment we will be going over all the models that are easily currently available in TensorFlow and describe use cases for that particular model as well as simple sample code. Continue reading TensorFlow in a Nutshell — Part Three: All the Models
Sales Automation Through a Deep Learning Platform
A deep learning platform that actually sells to the customer.
Continue reading Sales Automation Through a Deep Learning Platform
TensorFlow in a Nutshell — Part Two: Hybrid Learning
TensorFlow in a Nutshell — Part Two: Hybrid Learning
The fast and easy guide to the most popular Deep Learning framework in the world.
Continue reading TensorFlow in a Nutshell — Part Two: Hybrid Learning
TensorFlow in a Nutshell — Part One: Basics
The fast and easy guide to the most popular Deep Learning framework in the world.
Continue reading TensorFlow in a Nutshell — Part One: Basics
Creating a Search Engine
The science behind finding a needle in a needlestack.
Language is hard. It’s very difficult to find out what people are trying to say. It’s even harder to try to search through a corpus of text to find something relevant. With so many differences in meaning and phrasing how are we supposed to find what we want? This is where topic modeling comes in.
Recurrent Neural Networks for Beginners
What are Recurrent Neural Networks and how can you use them?
In this post I discuss the basics of Recurrent Neural Networks (RNNs) which are deep learning models that are becoming increasingly popular. I don’t intend to get too heavily into the math and proofs behind why these work and am aiming for a more abstract understanding.