Tag: Andrew Ng

Pause Giant AI Experiments – An Open Letter

This morning I watched a 30 minute presentation titled “Why the 6-month AI Pause is a Bad Idea”. If interested watch the YouTube video to get an idea on the response by Andrew Ng and Yann LeCun. I have read a few articles on contributions from both of them to AI. As a matter of fact a few years back I took one or more courses taught by Andrew Ng.

This response is based on a request by hundreds titled: Pause Giant AI Experiments: An Open Letter. Among the petitioners you find Elon Musk, Steve Wozniak, and Yoshua Bengio, just to mention a few. As I am writing this post, the count of signatures is up to 17821 to 17931 in less than an hour. Continue reading “Pause Giant AI Experiments – An Open Letter”

Basic RESTful Service – Part I

One can use different programming languages, frameworks and libraries to develop a RESTful web server which exposes the same API. In this post I will implement a RESTful server using JavaScript, Express, and npm libraries.

Given that one needs to start with some level of requirements, we will use the following short and simple statement:

“Implement a very simple RESTful API for a storage server that supports store, query, retrieve and delete operations using DICOM data”. Continue reading “Basic RESTful Service – Part I”

Covariant Return Types

This morning I read the article Turing Award Won by 3 Pioneers in Artificial Intelligence by Cade Metz of the New York Times. The recipients are Yann LeCun, Geoffrey Hinton and Yoshua Bengio. Continue reading “Covariant Return Types”

Logistic Regression with a Neural Network mindset

It is a very snowy day in the Twin Cities of Minneapolis and St. Paul. Schools are closed due to the amount of snow and low visibility. It started snowing earlier this morning and according to forecast, it should end around 09:00 PM this evening. We have already surpassed the snow amount for February according to records that go back over a century. We will be receiving more snow in the upcoming days. Will see if we set other new records.

In this post I will cover a logistic regression implementation used to determine if pictures contain a cat or not. The code is based on an edited assignment for Coursera Neural Networks and Deep Learning. Continue reading “Logistic Regression with a Neural Network mindset”

Numpy Vector Notes for Machine Learning

When learning and working with Python on machine learning it is important to make sure that Numpy arrays have the proper dimensions. Using improper dimensions may cause issues / bugs that are hard to track yet it is simple to prevent and we will see in this post. Continue reading “Numpy Vector Notes for Machine Learning”

Numpy Vectorization – Revisited

It is the last Sunday in January 2019 and is relatively cold in the Twin Cities of Minneapolis and St. Paul. The computerized mercury scale indicates -12F not taking into account wind. As usual, get up before 05:00 AM and get in my first 2 hour block of Deep Work. I am in the process of reviewing the last course I took on neural networks and deep learning. Continue reading “Numpy Vectorization – Revisited”

ACM and Coursera

It is getting late in the day for me. I am a believer in deep work so several months ago I decided to get up early morning and study for a couple hours. So far, it has worked very well for me. I have set a wakeup alarm for 05:00 AM 7-days a week. Typically I am awake between 04:30 and 05:00 so I just turn off the alarm and head down to my home office. Around 05:00 PM I feel the work day coming to an end and am ready to punt. I use EyeDefender to break every two hours. During my 5 to 10 minute breaks I walk and get some fresh water. What can I say; it works for me. On weekends I tend to just do two are three blocks. On work days I tend to do five. Continue reading “ACM and Coursera”