In PyTorch, arrays can be also be written as Tensors, which is basically the same thing as an array in Python, only that Tensors can run on a GPU to increase speeds by over 100,000 times. …

Here I summarize how to identify and address ethical issues of deep learning from the book “Deep learning for Coders with fastai and PyTorch” by Jeremy Howard & Syvain Gugger. A four step process is recommended to identify and address ethical issues of deep learning: Analyze a project you are…

Although data labeling is also essential for other types of machine learning applications such as natural language processing, speech recognition, and more, for this article we will focus on data labeling for Computer Vision. Specifically: (1) What is data labeling for computer vision? (2) Picture examples of data labeling for…

The year is 2021. From a theoretical idea originating from 1943, deep learning software and hardware has developed over the decades to become a useful tool in our everyday lives. Below I share both deep learning applications that already are in use today and those that are being developed and tested as we speak to be used in the coming years. Part 1: Deep learning application that already are in use today

Over the years, I have had the fortune to start many businesses in many industries. Some of them made money and many of them failed. Those failures were painful in the moment, but in 2014 I had an ephinany, a spiritual awakening of sorts, that led to the business that…