Regularization techniques in Pytorch | Quick Walkthrough | Tutorial for Beginners
We look at how to use 5 different regularization techniques in Pytorch. The idea is to provide a practical code walkthrough for the viewer to start working with Pytorch for beginners.
List of regularization techniques discussed in the video are:
1. Batch Normalisation
2. Dropout layer
3. L2 regularisation (weight_decay)
4. Early Stopping
5. Data Augmentation
Notebook on Github: https://github.com/harsh1kumar/learni...
Kaggle Competition/Data Source: https://www.kaggle.com/c/santander-cu...
Credits for Data Augmentation Image: https://www.datacamp.com/tutorial/com...
Timestamp:
00:00 - Intro
00:32 - Get data, preprocess, helper function
02:04 - Batch Normalisation
03:18 - Dropout layer
04:11 - L2 regularisation (weight_decay)
04:34 - Early Stopping
06:36 - Data Augmentation
08:15 - Outro
Nesta página do site você pode assistir ao vídeo on-line Regularization techniques in Pytorch | Quick Walkthrough | Tutorial for Beginners duração hora minuto segundo em boa qualidade , que foi baixado pelo usuário Harsh Kumar 12 Janeiro 2024, compartilhe o link com seus amigos e conhecidos, no youtube este vídeo já foi visto 391 vezes e gostou 16 espectadores. Boa visualização!
