How fastai makes deep learning easy: classifying cancer cells using CNN
This post is meant for people who are new to deep learning and are looking for ways to quickly build neural network models. They may not necessarily be from a math or computer science background, but have experience with python and interested in using deep learning in your own domain. Its important to know that in real life, there is no free cookies and deep learning is no exception. Yes, the basics of how it works is very simple, but to truly understand deep learning, one has to dig deeper and go beyond the basics. It may be easy to learn but its really difficult to master. The bottom line is that even though most online courses or blogposts (including this one) may give you the impression that deep learning is quiet fun and easy, it is only meant to spark interest, but one should always remember that at its core deep learning is all about one thing, maths. Nonetheless, We all need to start somewhere, so we might as well begin by making use of frameworks like fastai, to help us implement neural networks quickly, so we can visualise what’s happening and get an intuitive sense of how deep learning could help us in our own domain. ...