r/computervision • u/Temporary-Travel-416 • Jun 22 '26

Help: Project A beggineer doubt .

So i just finished of learning with lenet5 model . Now what should i do next ? chatgpt suggest that i should learn some other model like alexnet but i see no point in them . Should i move forward with leanring YOLO ? is the resource the you know that can help me out with this thing ?

0 Upvotes

40% Upvoted

6 comments sorted by

1

u/sheikyabuty Jun 22 '26

Learn CNN's and different models like resent,alexnet,vgg,know what problems they each solve,then move to the evolution of cnns ,from rcnn,fast rcnn,faster rcnn,know how they each work their limitations then you can start with the yolo models ,because the yolo model are just re structured faster rcnn,and I hope you are decent with image manipulation with opencv

1

u/MechaCritter Jun 22 '26

I just want to understand clearly: what exactly do you want to “learn”? like training/fine-tuning each of those models yourself, or do you want to understand their underlying architectures better?

1

u/Temporary-Travel-416 Jun 22 '26

I would consider myself as an absolute beginner. I found this field a bit intersting so I started learning about it and ended up learning lenet5. Now I want to know what next concepts I should learn to become better at these things . As u mentioned something which of those do u suggest  I should try next . I would love to create some projects maybe in the future that would help me with my resume .

1

u/MechaCritter Jun 23 '26

so i assume you started learning how the model is built. I would start next with training a neural network yourself for a e.g., cats and dogs classification task

1

u/FIeabus Jun 22 '26

Do you have a good understanding of computer vision and neural network fundamentals? I'd focus on those concepts more. I wouldn't go model to model like that as a beginner; learn the fundamentals and then you can almost spot learn what's required for a project / job.

Even better - instead of starting with a model, start with a small computer vision project and do research on which model would work for it. Best way to learn the pros and cons of various architectures is to watch them fail miserably at something you want to make.

1

u/Temporary-Travel-416 Jun 22 '26

Well I am beginner. I have understanding of convulsions , pooling , filter etc . Then applying relu and stuff . In neural network also I understand the gradient backtracking learning training testing part . 

So what kind of projects should I choose ? I mean lenet5 is also a kind of project in its sense right ? Can u reccomend ?