Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and huge datasets to create systems that can learn independently. It can perform ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

Deep Learning is a relatively new area of Machine Learning research which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence ...

In a recent essay by Sam Altman, titled “The Intelligence Age,” he paints a picture for the future of AI. He states that with AI, “fixing the climate, establishing a space colony, and the discovery of ...

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, ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...