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 ...

Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that ...

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.

James McCaffrey uses cross entropy error via Python to train a neural network model for predicting a species of iris flower.