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