Petru Potrimba

9 Feb 2023 • 13 min read

In this guide, we explore what Transformers are, why Transformers are so important in computer vision, and how they work.

24 Jan 2023 • 13 min read

In this article, we discuss what a neural network is and walk through the most common network architectures.

12 Jan 2023 • 10 min read

In this article, we discuss what an activation function is, why they are used, and what types of activation functions are commonly used.

5 Jan 2023 • 9 min read

In this article, we discuss what zero-shot learning is, how it works, and when zero-shot learning is and is not useful.

16 Dec 2022 • 6 min read

In this post, we discuss what semi-supervised learning is and walk through the techniques used in semi-supervised learning.

21 Nov 2022 • 6 min read

Learn what transfer learning is and how it is used in computer vision.

21 Oct 2022 • 8 min read

In this blog post, we are going to introduce autoencoders [https://en.wikipedia.org/wiki/Autoencoder], describe the several autoencoder types that exist, and showcase their applications. An autoencoder is an artificial neural network used to learn data encodings in an unsupervised [https://blog.roboflow.com/supervised-learning-vs-unsupervised-learning/] manner. In other

28 Sep 2022 • 9 min read

Learn what supervised and unsupervised learning are and how they compare.