Binary digits and circuit patterns forming a silhouette of a head. Neural networks and deep learning are closely related artificial intelligence technologies. While they are often used in tandem, ...

Article reviewed by Grace Lindsay, PhD from New York University. Scientists design ANNs to function like neurons. 6 They write lines of code in an algorithm such that there are nodes that each contain ...

What is CNN in Deep Learning? In this video, we understand what is CNN in Deep Learning and why do we need it. CNN (or Convolutional Neural Network) is the building block of all Computer Vision ...

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are ...

Engineering diagram analysis has emerged as a pivotal discipline within the modern engineering landscape. Deep learning techniques are increasingly utilised to automatically digitise, interpret and ...

Hold on - AI and Deep Learning are that easy? Of course, it’s not that easy: There is a big difference between using a model and training a model. Before we can reach the point where we have such a ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Deep neural networks will move past their ...

The computational requirements of existing deep learning models, however, have grown rapidly and are now outpacing Moore’s Law, a longstanding observation regarding the miniaturization of integrated ...