Your One-Stop Guide to Using Google Colab

Click here to read the full story with my Friend Link! When I tell people that they should consider applying deep learning methods to their data, a common initial response I get is: (1) "I am not working with big enough data," and (2) "I do not have access to enough computational resources to train deep learning models." I believe these assumptions come from large companies (e.g. Google) that often like to show off by conducting research on large datasets, such as ImageNet which contains over a million pictures, and by using a large amount of GPUs. That's great for these companies, but from my impression, the average deep learning practitioner is not working with such large datasets and does not have access to such large computational resources.