Good, now we know everything - let’s compare how a base model MacBook Pro will compare to GPU-enabled Windows laptop. If you’ve read any of my posts you probably know that I’m a PyTorch user, and this article won’t be an exception. The only thing which remains for me to uncover is to state which Deep learning library I’m using. Okay, you now have some basic info about the dataset. To be more precise, we have these 10 classes of images: Each example is a 28x28 grayscale image, associated with a label from 10 classes. This technology can be used for many purposes, including playing games, accessing the internet and communicating with family and friends. If you’ve done any deep learning I’m sure you are familiar with it, but just in case you haven’t, here’s a little background - source: Kaggle.įashion-MNIST is a dataset of Zalando’s article images - consisting of a training set of 60,000 examples and a test set of 10,000 examples. Eye-gaze control technology allows children and adults with cerebral palsy to use movements of their eyes to operate a laptop, computer or speech-generating device. (I won’t go into the Total Cost of Ownership rant here there is plenty written on that subject elsewhere. However, it’s not exactly a news flash that people use PC because they think they’re cheaper. Recently at my university, we dealt with the Fashion-MNIST dataset. All reasons rate higher for Mac versus PC, and the only reason rated higher for PC was price. Let me know if you’d like a full rundown on this dataset.Īnyway, this intro got longer then I expected, so let’s end it and get started with what you came here for. Now, this won’t be a deep learning tutorial, as I’ll only share how both laptops performed on training. You’ll have to stay tuned for the reasons and performance comparisons. If you don’t have time to read through the entire article, the short answer is YES - go for Mac if you have the money and want something new. This article is aimed at data scientists that are facing the same MacBook dilemma I was facing till yesterday - to buy or not to buy. I’ve tried multiple times with various distros of Linux, but all of them felt like they were still in pre-alpha, even though that wasn’t the case (overheating issues, sleep issues, wifi issues…). While I still didn’t get used to the keyboard (layout-wise), the whole OS feels significantly better for me than Windows. Nevertheless, I decided to just go for it, since I wanted a MacBook for a long time.
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