Python Pytorch Tutorials # 1 Transfer Learning : DataLoaders Pytorch

Published: 31 July 2019
on channel: PyMoondra
10,040
165

Python Pytorch is another somewhat newer, deep learning framework, which I am finding to be more intuitive than the other popular framework Tensorflow.
In this mini series in the first set of Python Pytorch tutorials, of transfer learning with Pytorch we will first learn about learn about data preparation using DataLoaders.
In additional we will learn about data transformation using Transformers.

Before data can be feed into a model, it needs to be "prepared" or preprocessed. This preprocessing makes it easier for the model to learn, thus the preprocessing.


Code will be added to my Github once I set up git on my other PC:

https://github.com/moondra2017

::::::::::::::::::::::::::::::::::SOCIAL MEDIA STUFF:::::::::::::::::::::::::::::::::::::::::::::::::


Just created a facebook page:

https://www.facebook.com/PyMoondra-10...


Here is my reddit account for sharing links:

  / sayaos  

Here is my twitter account for programming:

  / moondra2017  

Here is my github account:

https://github.com/moondra2017