Very First Start of writing post of fast.ai
These days, I’m studying deep learning from fast.ai. Last year, I found this field is really fascinating and delved into it from October. Until now, the way I learn it is just wrote down what lecturers talked about during the lecture. I took all the deeplearning.ai courses from Coursera by Andrew Ng, and CS231n from Stanford University. However, when trying to apply the theory into the real data like kaggle competition, it’s bit hard. Then, I found this super excellent materials equipped with state-of-art coding provived. In lectures, Jeremy teaches us some important features we need to focus on and make us write codes we can easily do. From next post, I decided to note down important concept dealt in the lectures or something I get confused.
I’ll do my best to deliver the concept in the right way as long as I understand. However, I’m not an expert in this field and just invested about a half of year to study deep-learning and machine learning. There might be some mistake in posts, don’t hesitate to talk about things you wonder and please let me know.
Source: Deep Learning on Medium