• 12 min read
Multimodal Models and Computer Vision: A Deep Dive
In this post, we discuss what multimodals are, how they work, and their impact on solving computer vision problems.
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Petru P.
Machine Learning Engineer @ Google
Latest Posts by Petru P.
• 16 min read
What is a Convolutional Neural Network?
In this guide, we discuss what a Convolutional Neural Network (CNN) is, how they work, and discuss various different applications of CNNs in computer vision models.
• 13 min read
Transformer Architecture: What Is a Transformer?
In this guide, we explore what Transformers are, why Transformers are so important in computer vision, and how they work.
• 10 min read
What is an Activation Function? A Complete Guide.
In this article, we discuss what an activation function is, why they are used, and what types of activation functions are commonly used.
• 9 min read
What Is Zero Shot Learning in Computer Vision?
In this article, we discuss what zero-shot learning is, how it works, and when zero-shot learning is and is not useful.
• 6 min read
What is Semi-Supervised Learning? A Guide for Beginners.
In this post, we discuss what semi-supervised learning is and walk through the techniques used in semi-supervised learning.
• 8 min read
What is an Autoencoder?
In this blog post, we are going to introduce autoencoders, 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 manner.
In other words, the autoencoder has to look at the data and construct
• 9 min read
Supervised Learning vs. Unsupervised Learning: Explained
Learn what supervised and unsupervised learning are and how they compare.
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