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”
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”
Understanding Sentiment Analysis – Part 2
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”
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.
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”
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”
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”
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”
Challenge to Learn AI by AI NEXTCon
We believe attending the conference is just a part of learning and practice AI. learning list recommended by speakers. Continue reading “Challenge to Learn AI by AI NEXTCon”