Deep Learning Archives

Deep Learning

Introduction to Bayesian Deep Learning

Deep Learning Modeling bayesianposted by Daniel Gutierrez, ODSC July 21, 2020

Bayes’ theorem is of fundamental importance to the field of data science, consisting of the disciplines: computer science, mathematical statistics, and probability. It is used to calculate the probability of an event occurring based on relevant existing information. Bayesian inference meanwhile leverages Bayes’ theorem to update... Read more

Enhancing Satellite Imagery Through Super-Resolution

Deep Learning Modelingposted by ODSC Community July 14, 2020

In order to accurately locate crop fields from satellite imagery, it is conceivable that images of a certain quality are required. Although deep learning is notoriously known for being able to pull off miracles, we human beings will have a real field day labeling the data... Read more

Recurrent Neural Networks in the Cloud and Edge

Deep Learning Modeling RNNposted by ODSC Community July 13, 2020

Traditionally, neural networks had all their inputs and outputs independent of each other, but in cases, for instance, where it is required to predict the next word of a sentence, information about previous words is essential. Thus, RNN came into existence. Recurrent Neural Network (RNN) is a... Read more

Image Detection as a Service

Deep Learning Modeling Europe 2020 Image Detectionposted by ODSC Community July 6, 2020

Across our two brands, Badoo and Bumble, we have over 500 million registered users worldwide uploading millions of photos a day to our platform. These images provide us with a rich data set from which we derive a wealth of insights. My talk focuses on image... Read more

Deep Learning with TensorFlow 2 & PyTorch

Deep Learning Featured Post Modeling AIposted by ODSC Team June 26, 2020

I’m greatly honored to be leading the charge on ODSC’s exciting new AI+ Training platform, which brings ODSC’s world-leading ability to provide professional training to data scientists into the digital realm while nevertheless retaining an intimate and engaging experience for attendees. My Deep Learning with TensorFlow... Read more

Creating Typography Using Word Cloud in Python

Deep Learning Modeling Computer Visionposted by ODSC Community June 25, 2020

Cameras’ biggest recent advancements have come from AI, not sensors and lenses. Over the past couple of years, technology has enabled staggering advances in photography. AI is transforming both the way we shoot photos and how we edit them. As ‘computer vision’ becomes an important part... Read more

Processing Images Through Segmentation Algorithms

Deep Learning Modeling Image Processing Segmentationposted by ODSC Community June 15, 2020

Image segmentation is considered one of the most vital progressions of image processing. It is a technique of dividing an image into different parts, called segments. It is primarily beneficial for applications like object recognition or image compression because, for these types of applications, it is... Read more

A Look Inside the AI Runtime from Microsoft

Deep Learning Modeling Azureposted by ODSC Community June 10, 2020

Today, I want to wear my software archeology hat and share with you one story about the AI efforts at Microsoft and how Microsoft built its open-source high-performance AI runtime that is saving the company time and money. A couple of years ago, I decided to... Read more

Neural Network Optimization

Deep Learning Modeling Neural Networksposted by Matthew Stewart April 15, 2020

This article is the third in a series of articles aimed at demystifying neural networks and outlining how to design and implement them. In this article, I will discuss the following concepts related to the optimization of neural networks: Challenges with optimization Momentum Adaptive Learning Rates... Read more

Deep Learning Talks Coming to the ODSC Virtual Conference April 14-17

Conferences Deep Learning Modeling East 2020 Virtual Conferenceposted by ODSC Team April 10, 2020

Deep learning is an increasingly important of any data scientist’s skillset and any company’s strategies to get ahead. This practice requires a broad knowledge of frameworks, libraries, and algorithms, ranging from neural networks to knowing about hardware capabilities. To help any data scientist stay up-to-date with... Read more