Introduction A few weeks ago, we talked in our blog about Object recognition with Deep Learning, explaining this technique and some of its algorithms. In this post, we will analyze a very similar area known as semantic image segmentation, a…
Introduction Object detection is a branch of computer vision that focuses on identifying the presence and location of objects in images. It is used in a wide variety of applications, from surveillance systems, medical image analysis to autonomous driving. This…
Introduction Nowadays, when talking about neural network models, it is common to mention how many graphics cards they need. For larger ones, there is talk of how many cards are needed, and how many GB of RAM may be required…
Introduction We all know that Artificial Intelligence is advancing at a significant speed in recent years. One of the aspects that is currently gaining most visibility is the ability to generate images with the unique source of origin of a…
In the previous post by Damavis, the concept of NLP was introduced and an example of the use of the well-known GPT-3 text generation model was shown. In short, the system proposed by OpenAI is a generative artificial intelligence model…
Introduction In our previous post about Reinforcement Learning, we made an introduction to this area through one of its most popular techniques: Q-learning. We laid the groundwork by talking about Markov decision processes, policies and value functions, and we saw…