this post was submitted on 09 Nov 2023
20 points (81.2% liked)
Programming
17668 readers
207 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities !webdev@programming.dev
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
In your opinion, is PyTorch easier than something like TF? What do you think about Keras?
I’m not personally coding with them, just often supporting people and their projects that do. Keras is also popular but I’ve at least personally seen slightly shoddier implementations with it. That could be selection bias though.
I personally think Keras has a nice and intuitive high level API for getting into nueral networks, but Pytorch is definitely the most prominent library. If your going to start somewhere you're not going to regret learning Pytorch.
That being said, as others have mentioned, if you want to be a good data scientist or ML practioner learning the basics is never a bad idea. Sklearn is still the best library for a lot of ML tasks and is good to be familiar with.
There are a couple of good books out there that start off with the basics using numpy, pandas, Sklearn and build up to nueral networks/deep learning. I've use this one in the past https://www.amazon.com/Machine-Learning-PyTorch-Scikit-Learn-learning/dp/1801819319.