Undoubtedly one of the most recurrent problems in the history of computing is image processing and analysis. That is to say, giving machines "eyes".
As we saw in the previous chapter, Neural Networks and Deep Learning. Chapter 3: Gradient Descent, allowed us to optimise the cost function based on the parameters
In today's chapter we will talk about gradient descent, an optimization algorithm that plays a key role in the field of Machine Learning. As we mentioned
Etymology and definition In general, the etymology of the neural network, as we saw in the previous chapter "Neural Networks and Deep Learning. Chapter 1: Prelude", comes inspired by
Introduction It is a reality that the concepts of Neural Networks and Deep Learning are among the main technological trending topics nowadays. These terms are usually intrinsic in
Can machines think? Will there be digital systems imaginable that will perform well in the mimicry game? These two questions, which have surely crossed your mind at some point, were already being asked
Webinar on strategies and techniques to improve, contrast and enrich your data with our Big Data and Analytics Manager, Iván Avilés and our BDM, Esteban Calzas
Discover the potential of WebScale architecture with Future Space and Nutanix. The agility and accelerated innovation of cloud technology to local environments.
