Huh? What are you trying to build? Is your primary interest RL or building a simple NN? What task are you trying to solve? I programmed in Java daily from 2002 - 2015, then switched to Python in 2015. I'd suggest you not use Java because you can get practice w/ the same fundamentals without having to write so much verbose code.

If your goal is to learn fundamentals, I'd suggest you start w/ just numpy and no additional libraries. If you're already very comfortable w/ PyTorch, then I'd suggest using JAX.

Beast is too big

I’ve been getting into deep learning for about 6mo and have access to some pretty intense graphics cards (RTX 8000) but have not even used them for it because it’s widely accepted that it’s not worth the trouble for beginners and you can focus on the more important lessons by using platforms like kaggle and colab which are free and plenty powerful

Unless you plan to train models consistently every day for at least several hours for more than a year, cloud will be more efficient.

I am agree with most of the people here, for learning colab is more than enough in the start (but you have to install libraries every time- keep in mind).

If you have basic knowledge of DL then it is better to go for desktop with gpu that you can afford (once install use always).

I have an rtx 2080 and it’s barely faster than google colab free GPU for training a pretty large cnn. Use that as you will.

I second this. Cloud is pretty much great for ALL your learning purposes, once you get decent, you won't be doing it alone! Don't rush.

> I am new to Deep Learning

I feel it's probably better to understand the what or why of DL instead of the how at your level. That is Colab should be plently enough

Appreciate the clarification. I am getting a good deal on RTX 4080 with an AMD Ryzen 7

Personally haven’t faced an issue but a more experienced person told me he has ran into some issues with AMD chips with some frameworks. That’s all. Nothing major.

Got it, that’s a valuable idea

Got it. Could you clarify what you meant by stability ?

I use a 5800x but for deep learning I would recommend Intel for max stability

Facebook marketplace , inspect the product and bargain. Got myself a brand new 3090 with the peel on it for 750$CAD

Oh and does it matter if I get an Intel or AMD (assuming it’s RTX3090)?

I value your input and will apply this. Re: costs building up, that’s definitely my concern too. Is it best to buy from like a BestBuy or are there better options ?

Get a 3090 or a 4090 for the vram. For short term cloud is always better cuz it’s cheaper. For long term , having a gpu is incredibly handy and the cloud expenses build up so a gpu in that case becomes more economical.

Imo 3080 isn’t worth it because 10gb is too low.

They're not even 2-years-ago-proof lmao

Just train on the cloud, don’t stress about your laptop, it won’t ever have the GPU for DL, unless you want to shell out for a Lambda machine.

At least I saw that in a instagram ad

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absolutely

really

“ I work with vision models, bro.”

How can you be working with vision models and not know hardware requirements?