Dropout in deep learning @DrJuanKlopper

Dropout in deep learning @DrJuanKlopper

Uploaded August 2018 | Updated September 2026, 2 weeks ago

Start this series from the beginning at youtube.com/playlist?list=PLsu0TcgLDUiIKPMXu1k_rItoTV8xPe1cj

In this video I discuss another way of reducing overfitting and that is dropout. Dropout removes some nodes in a laeyr at random, by setting its value to zero.

Read the RPubs documents at rpubs.com/juanhklopper/dropout
Download the R markdown file at github.com/juanklopper/Deep-learning-using-R

Dropout in deep learning

Convolutional neural network using Keras for R - SKIN LESIONS

Julia plots using VegaLite

Introduction to convolutional neural networks

Linear regression as a simple learner

k Nearest Neighbors - Video Lecture 13

Bar charts in Plotly

Cycle types and conjugacy classes of the symmetric group

Complex numbers

Hypothesis testing tutorial using Python in Google Colab

Normalizer of a set in a group

Logistic regression as a network

Dr Juan Klopper |

Dropout in deep learning