It's a lecture I highly recommend not only to those who are starting deep learning for the first time but also to those who want to systematically organize what they've learned!!
Listening to the PyTorch lecture really deepened my understanding of deep learning ๐
In particular, they systematically taught the entire process, from Tensor to how to build, train, and evaluate models, so even someone new to it can follow along without difficulty!!!
Above all, they didn't just have us follow along with the code, but explained in detail why such a structure is used and what meaning each step has, which gave me the confidence to implement it myself:)
They also explained the concepts of regression, binary classification, and multi-classification very clearly. They didn't just explain the theory but worked through the code together, allowing me to understand it naturally.
And they meticulously covered the core functions of PyTorch, so it became knowledge I can immediately use in real projects, beyond just for studying! What I personally liked the most was that the instructor explained things using real-life examples or illustrations! They made difficult formulas and theories easy to understand, which was a great help to me, who felt deep learning was vague ๐๐
Furthermore, the lecture was structured so that instead of immediately moving on after it ended, there was time to review, which I really liked as it allowed me to organize important concepts again and make them my own.
After taking this lecture, I started a personal project based on PyTorch, and now I even have the goal of developing it into a portfolio. It was truly a time where I could grow substantively๐Thank you so much for creating such a beneficial and solid lecture!!
