Uber Turns to Neural Network Tech to Enhance Prediction

Uber Turns to Neural...

For Uber, the arrival of peak travel days like New Year’s Eve can strain its service to the limit, with the number of rides nearly tripling its average rate. Consequently, it’s critical for Uber to develop accurate forecasting methods to forecast the volume and location of ride demand. To improve prediction precision, Uber has developed a single, […]

The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)

The 9 Deep Learning ...

Introduction Link to Part 1 Link to Part 2 In this post, we’ll go into summarizing a lot of the new and important developments in the field of computer vision and convolutional neural networks. We’ll look at some of the most important papers that have been published over the last 5 years and discuss why […]

Getting to know Neural Networks with Perceptron

Getting to know Neur...

Editor’s note: ODSC supports the self-education of data enthusiasts of all levels, building the access to information and the means to showcase their data driven passions. The author of this post is a premier example of one such intersection. Caspar is our youngest Data Science Associate yet, and you can come see his talk at […]

An Overview of Multi-Task Learning in Deep Neural Networks

An Overview of Multi...

Note: If you are looking for a review paper, this blog post is also available as an article on arXiv. Table of contents: Introduction Motivation Two MTL methods for Deep Learning Hard parameter sharing Soft parameter sharing Why does MTL work? Implicit data augmentation Attention focusing Eavesdropping Representation bias Regularization MTL in non-neural models Block-sparse regularization […]

Artificial Neural Networks (ANN) Introduction

Artificial Neural Ne...

Training a Computer to Recognize your Handwriting Take a look at the picture below above and try to identify what it is. One should be able to tell that it is a giraffe, despite it being strangely fat. We recognize images and objects instantly, even if these images are presented in a form that is […]

A Beginner’s Guide To Understanding Convolutional Neural Networks Part 2

A Beginner’s G...

Introduction Link to Part 1 In this post, we’ll go into a lot more of the specifics of ConvNets. Disclaimer: Now, I do realize that some of these topics are quite complex and could be made in whole posts by themselves. In an effort to remain concise yet retain comprehensiveness, I will provide links to […]

Deciphering the Neural Language Model

Deciphering the Neur...

Recently, I have been working on the Neural Networks for Machine Learning course offered by Coursera and taught by Geoffrey Hinton. Overall, it is a nice course and provides an introduction to some of the modern topics in deep learning. However, there are instances where the student has to do lots of extra work in order […]

Handwritten digits recognition using Tensorflow with Python

Handwritten digits r...

The progress in technology that has happened over the last 10 years is unbelievable. Every corner of the world is using the top most technologies to improve existing products while also conducting immense research into inventing products that make the world the best place to live. Some of these are the Amazon just walk out […]

HACKER’S GUIDE TO NEURAL NETWORKS, #2

HACKER’S GUIDE TO ...

Chapter 2: Machine Learning In the last chapter we were concerned with real-valued circuits that computed possibly complex expressions of their inputs (the forward pass), and also we could compute the gradients of these expressions on the original inputs (backward pass). In this chapter we will see how useful this extremely simple mechanism is in […]