#3 Uploading data to Google Colab (local files, from gdrive, Github & Dropbox)

The link to my Github repository where you can find both notebooks discussed in the video: https://github.com/Shaam93/Building-a-classifer-with-Pytorch ............................................................................................... This video will mainly cover two parts: Part I: General information about getting your data connected to Colab, and we explain how to : - load your local files to Google Colab ***PLEASE NOTE:*** that there is no need to provide/change the name and the size of the uploaded file in: from google.colab import files uploaded = files.upload() for fn in uploaded.keys(): print('User uploaded file "{name}" with length {length} bytes'.format( name=fn, length=len(uploaded[fn]))) as this is generic and will pick up the files you select to upload!! Many thanks to Mark for pointing this out! **** - Get some public data that is available online using its URL - Connect and mount Google Drive to Google Colab - Connect Github to Google Colab and how to get data from Github to work on with Colab - use Dropbox and Google Colab The link to the notebook in the video: https://github.com/Shaam93/Building-a-classifer-with-Pytorch/blob/master/Uploading_Data_to_Google_Colab.ipyn Part II: Continue working on the classifier we started in the last 2 videos. We continue working on the "pytorch classifier", by getting the flowers data we need using "wget" The link to the "pytorch classifier": https://github.com/Shaam93/Building-a-classifer-with-Pytorch/blob/master/pytorch%20classifier.ipynb Also we explain some ideas about working with data bigger than 15GB (please let me know if you know a free solution to use data bigger than 15 GB with Google Colab. ................................................................................................................... The notebooks can be found in this GitHub repository https://github.com/Shaam93/Building-a-classifer-with-Pytorch ................................................................................................................... The list of the "Pytorch Series" videos: 1. Everything you need to Build a classifier with Pytorch: #1 Get started with Google Colab: https://youtu.be/_rtueYEJXtI 2. Everything you need to Build a classifier with Pytorch:#2 Installing/ Importing the needed libraries: https://youtu.be/tkPryh36EtQ 3. #3 Uploading data to Google Colab (local files, from gdrive, Github & Dropbox): https://youtu.be/SkV82klGbVw 4. #4: Image Transforms, ImageFolder, DataLoader, Sampler, use data from Google Drive: https://youtu.be/5rW_PZI4B2I