Over Fitting on Deep Learning

Over Fitting

When is it happened?

  • When the delta from your Train Accuracy and Test Accuracy is too much.
  • When Test Accuracy value is larger than Train Accuracy

Why is it Happened?

Usually overfitting occurs when you have too much Layer or too much training for your model.

How can we reduce OverFitting?

  • Making more simple training model, like remove some layer. Or use DropOut.
  • Make Augmentation from our current dataset. (do pivot, flip or resizing)
  • Adding more training data set.

--

--

--

Still believe, can change the world with code..

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

What is Perceptron: A BeginnersTutorial For Perceptron

Layers in Neural network

How To Make AI That Classifies Dog Breeds

Machine Learning!!

Usability of Activation Function on Deep Learning

How to read The Lord of the Rings in 5 minutes using data science: A Trilogy (Introduction + Part…

🔥🔥Here comes the results of the LP-reward program 5th epoch!🔥🔥

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
ade sueb

ade sueb

Still believe, can change the world with code..

More from Medium

Why initialize weights randomly(numpy.random.randn()) in Hidden Layered Neural Networks ?

Train a Convolutional Neural Network to classify dog breed

Getting Started with Neural Networks

Artificial Neural Network: A beginner’s guide