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

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 ...