In this video, we will understand forward propagation and backward propagation. Forward propagation and backward propagation ...

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

Neural networks have revolutionised the landscape of machine learning, yielding unprecedented performance in complex tasks ranging from image recognition to natural language processing. At the heart ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

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

As the world grapples with the energy crisis and environmental concerns, the focus on renewable energy sources has intensified. Lithium-ion batteries, with their high energy density and low pollution, ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...