How to tackle common data cleaning issues in R

[unable to retrieve full-text content]R is a great choice for manipulating, cleaning, summarizing, producing probability statistics, and so on. In addition, it’s not going away anytime soon, it is platform independent, so what you create will run almost anywhere, and it has awesome help resources.
Original Post: How to tackle common data cleaning issues in R

How to Implement a YOLO (v3) Object Detector from Scratch in PyTorch: Part 1

[unable to retrieve full-text content]The best way to go about learning object detection is to implement the algorithms by yourself, from scratch. This is exactly what we’ll do in this tutorial.
Original Post: How to Implement a YOLO (v3) Object Detector from Scratch in PyTorch: Part 1

GANs in TensorFlow from the Command Line: Creating Your First GitHub Project

[unable to retrieve full-text content]In this article I will present the steps to create your first GitHub Project. I will use as an example Generative Adversarial Networks.
Original Post: GANs in TensorFlow from the Command Line: Creating Your First GitHub Project

Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API

[unable to retrieve full-text content]In this tutorial, a CNN is to be built, and trained and tested against the CIFAR10 dataset. To make the model remotely accessible, a Flask Web application is created using Python to receive an uploaded image and return its classification label using HTTP.
Original Post: Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API