ML&DL/Dive into Deep Learning (11) 썸네일형 리스트형 [3.3.5] Dive into Deep Learning : exercise answers 3.3. Synthetic Regression Data — Dive into Deep Learning 1.0.3 documentation d2l.ai [1] The question is asking me if the batch_size is 8 and I have a data size of 50. Since 50 is not dividable by 8, what should I do to the remaining 2?. Actually the attributes in torch.tensor and even in the list already fixes our concerns. The below is the example of dealing with the unmatched size. import torc.. [3.2.6]Dive into Deep Learning : exercise answers 3.2. Object-Oriented Design for Implementation — Dive into Deep Learning 1.0.3 documentation d2l.ai [1] So there are a bunch of classes and methods in the torch.py file and I will go through only the classes that are shown in 3.2. Before we get into the library, I found something interesting which is the way torch let users to implement their own functions for additional perposes. For example, w.. [3.1.6]Dive into Deep Learning : exercise answers 3.1. Linear Regression — Dive into Deep Learning 1.0.3 documentation d2l.ai This post is just my personal solutions to the exercise problems from the linear regression part of the book. Although I tried my best to come up with the most logical solution, there must be flawes in the solutions(I am currently just a masters student(I am just a hot potato)). [1-1] If we view the equation as a loss fu.. 이전 1 2 다음