This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

One of the most common requests I get from readers is to demonstrate a neural network implemented using the Python programming language. The use of Python appears to be increasing steadily. If you ...

In many scenarios, using L1 regularization drives some neural network weights to 0, leading to a sparse network. Using L2 regularization often drives all weights to small values, but few weights ...

When we discuss neural networks, this is always the hitch. In a broad sense, there is no problem solvable with a neural network that isn’t solvable using traditional techniques.

While neural networks (also called “perceptrons”) have been around since the 1940s, it is only in the last several decades where they have become a major part of artificial intelligence. This ...