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

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

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

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 ...

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, innovatively launches a quantum-enhanced deep convolutional neural network image 3D reconstruction technology ...

“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 ...

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