In this article, we will use PyTorch to build a working neural network. Specifically, this network will be trained to recognize handwritten numerical digits using the famous MNIST dataset. The code in this article borrows heavily from the PyTorch tutorial “Learn the Basics”. We do this for several reasons. Knowledge Background This article assumes the … Read more
Although Neural Networks do a tremendous job learning rules in tabular, structured data, it leaves a great deal to be desired in terms of ‘unstructured’ data. And there we come to a new concept: Recurrent Neural Networks. Recurrent Neural Network A Recurrent Neural Network is to a Feedforward Neural Network as a single object is … Read more
Is TensorFlow Better Than PyTorch? Since PyTorch made its way into the machine learning sphere in 2016, loyalists from both camps have sung the praises of their framework of choice. Today, curious minds such as yourself are looking through page after page to find out which one is worth your valuable time and effort. Both … Read more
👉 This is a follow-up article to Gradient Descent in Neural Nets – A Simple Guide to ANN Learning – Finxter, where a lightweight introduction to Gradient Descent is given. In this article, you will learn how to produce the graphs in that article, especially the vector fields! Data visualization is an enlightening task in … Read more
💡 Gradient Descent: What is it? Where does it come from? And what the heck is it doing in my ANN? You can scroll through the slides as you watch this video here: This article aims to present the gradient descent algorithm in a light fashion, familiarizing new Machine Learning enthusiasts with this fundamental technique… … Read more
In this article, we will introduce one of the core elements describing the mathematics of neural networks: tensors. 🧬 Although typically, you won’t work directly with tensors (usually they operate under the hood), it is important to understand what’s going on behind the scenes. In addition, you may often wish to examine tensors so that … Read more
Artificial neural networks have become a powerful tool providing many benefits in our modern world. They are used to filter out spam, perform voice recognition, play games, and drive cars, among many other things. As remarkable as these tools are, they are readily within the grasp of almost anyone. If you have technical interest and … Read more
AlphaGo was the first computer to beat Lee Sedol, who was considered the best Go player of the decade. Before AlphaGo, the strongest Go computer programs could only play Go at an amateur level. AlphaGo was further developed into AlphaZero, an AI that can master any game, including complex games like Shogi and Chess. Why … Read more