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Category: Deep Learning

Posted on December 3, 2018December 25, 2018

AI NEXTCon Conference Seattle 2019

 

The annual AI NEXTCon is coming up on January 23rd-26th, 2019 in Seattle. Continue reading “AI NEXTCon Conference Seattle 2019”

Posted on July 21, 2018July 21, 2018

The Top 10 papers from CVPR 2018

I’m going to show you what I thought were the 10 coolest papers at CVPR 2018. We’ll see new applications that have only recently been made possible by using deep networks, and others that offer a new twist on how to use them. 10mins read.
Continue reading “The Top 10 papers from CVPR 2018”

Posted on April 25, 2018

Text Embedding Models Contain Bias. Here’s Why That Matters

As Machine Learning practitioners, when faced with a task, we usually select or train a model primarily based on how well it performs on that task. 10min read.

Continue reading “Text Embedding Models Contain Bias. Here’s Why That Matters”

Posted on April 21, 2018

Understanding Sentiment Analysis – Part 2

continue with the part 1.

Continue reading “Understanding Sentiment Analysis – Part 2”

Posted on April 21, 2018April 24, 2018

Understanding Sentiment Analysis – Part 1

This article explains the fundamentals of how a computer can learn to infer the polarity of a given document and use it as an excuse to introduce different concepts used in NLP.  by Enrique Fueyo, 10 min read. Continue reading “Understanding Sentiment Analysis – Part 1”

Posted on April 7, 2018April 7, 2018

Deep Learning for Object Detection

A comprehensive tech review on how deep learning is applied to object detection, and how these object detection models both inspire and diverge from one another. by Joyce Xu. 10 min read.

Continue reading “Deep Learning for Object Detection”

Posted on March 31, 2018March 31, 2018

Comparing Deep Learning Frameworks: A Rosetta Stone Approach

There are many deep learning frameworks, Tensorflow, Keras, MXNet/Gluon, CNTK, Torch, Caffe, etc..  Our idea was to a create a Rosetta Stone of deep-learning frameworks – assuming you know one well, to help anyone leverage any framework.  5 min read. Continue reading “Comparing Deep Learning Frameworks: A Rosetta Stone Approach”

Posted on March 30, 2018

Firechat with Dr. Fei-fei Li on AI Career Path

Dr. Li will candidly answer questions on how to best prepare for the evolving data science field and share insights from her own career path that has spanned academia and leadership at Google Cloud AI.  5 min read Continue reading “Firechat with Dr. Fei-fei Li on AI Career Path”

Posted on March 30, 2018April 7, 2018

Speaker Post: What worries me about AI

This post is brought to you by one of our speakers, Francois Chollet (@fchollet), who best known as “creator of Keras”. and his thoughts on AI either to manipulate users or give control back to users.  10 min read. Continue reading “Speaker Post: What worries me about AI”

Posted on March 29, 2018

Reinforcement Learning Algorithms (TRPO, PPO) Explained – Part 2

In this article, I will continue to discuss two more advanced RL algorithms, both of which were just published last year. In the end, I am going to briefly make a comparison between each of the algorithm I have discussed. by Steve Huang. 10 min read. Continue reading “Reinforcement Learning Algorithms (TRPO, PPO) Explained – Part 2”

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