Tresor Koffi – Medium

Published in unpackAI

·Feb 1, 2021

Introduction of Dropout and Ensemble Model in the History of Deep Learning

Dropout is a technique where randomly selected neurons are ignored during training. They are “dropped-out” randomly. This means that their contribution to the activation of downstream neurons is temporally removed on the forward pass and any weight updates are not applied to the neuron on the backward pass. The history…

Dropout

5 min read

Jan 18, 2021

SIMPLE EXPLANATION OF PRINCIPAL COMPONENT ANALYSIS (PCA)

The purpose of this post is to provide a complete and simplified explanation of Principal Component Analysis, and especially to answer how it works step by step, so that everyone can understand it and make use of it, without necessarily having a strong mathematical background. Before getting to the explanation…

9 min read

A STEP BY STEP EXPLANATION OF PRINCIPAL COMPONENT ANALYSIS (PCA)

Published in unpackAI

·Jan 4, 2021

UNPACK_AI : Loss Entropy Loss explained in Fast_AI #

UNPACK_AI : Loss Entropy Loss explained in Fast_AI # Softmax_Loss In Fast_AI , we discuss about Cross entropy Loss , it is basically the function that maps an event or values of one or more variables onto a real number in this way we used gradients have been useful to…

Cross Entropy Loss

4 min read