Keras Tutorial 9 Avoiding Overfitting

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Notebook(s) can be found on https://github.com/MrGeislinger/flatiron-school-data-science-curriculum-resources.

Early stopping is a method in Deep Learning that allows you to specify an arbitrarily large number of training epochs and stop ...

It can be difficult to know how many epochs to train a neural network for. Early stopping stops the neural network from training ...

After going through this video, you will know: Large weights in a neural network are a sign of a more complex network that has ...

Dropout is a regularization that is very popular for deeplearning and

When we don't have enough training samples to cover diverse cases in image classification, often CNN might

Dropout in Deep Learning refers to dropping out or ignoring neurons during the training phase of certain set of neurons which is ...

Dropout is a very simple, yet effective means of neural network regularization that can be used with

Overfitting

Here we discuss strategies to

How to

In this Coding TensorFlow episode, Magnus gives us an overview of a common machine learning problem,

Making use of L1 (ridge) and L2 (lasso) regression in

Hello and welcome to our new video. Today, we will discuss one of the most common problems that arise during the training of ...

What is

We're back with another deep learning explained series videos. In this video, we will learn about regularization. Regularization is ...

In this video, I introduce techniques to identify and

Using L1 (ridge) and L2 (lasso) regression with scikit-learn. This introduction to linear regression regularization lays the ...