In this article, we’ll look at what quantization is and how you can use it with TensorFlow to improve and accelerate your models. Since the release of ChatGPT, researchers have been striving to shrink the ever-growing storage space used by…
In this article, I’ll show you how to use a Random Seed with TensorFlow to achieve reproducible results with your model. Unlike traditional Machine Learning, training a Deep Learning model is a highly complex process. In this process is used…
This article is a guide for beginners in Artificial Intelligence who want to start studying Deep Learning. How could one not have heard of Artificial Intelligence in our times? From ChatGPT and AlphaFold to autonomous cars, and even Midjourney, it…
In this article we talk about loss function. Many losses exist in Machine Learning and it is important to choose them well. The loss function is mainly used in Neural Networks. So when you hear loss function, you must understand…
In this article, we see what Optuna is, the library that enables you to optimize your Machine Learning Models in a blink of an eye. Optuna is a library that allows the automatic optimization of the hyperparameters of your Machine…
In this article we see how to do the basis of Machine Learning: Linear Regression ! For this we will use the Keras library. But first, what is a linear regression? Linear regression is an approach to solve a problem.…