Dear Aarohi Your channel is very knowledgeable & helpful for all Artificial Intelligence/ Data Scientist Professionals. Stay blessed & keep sharing such a good content.
@soravsingla657411 ай бұрын
Hello Ma’am Your AI and Data Science content is consistently impressive! Thanks for making complex concepts so accessible. Keep up the great work! 🚀 #ArtificialIntelligence #DataScience #ImpressiveContent 👏👍
@CodeWithAarohi11 ай бұрын
My pleasure 😊
@osmanmamudu471 Жыл бұрын
Great content on SOTA model architectures! Thank you
@CodeWithAarohi Жыл бұрын
Glad you liked it!
@EngineerXYZ.8 ай бұрын
Can I combine mobilenetV2 with swin transformer to reduce parameters & to make suitable to deploy on edge devices
@nandiniloku77478 ай бұрын
mam can you please share me the link where i can get pre traine weights for swin transformers
@Sunil-ez1hx Жыл бұрын
Thank you soo much mam for this amazing video
@CodeWithAarohi Жыл бұрын
Most welcome 😊
@salvadornunez232 ай бұрын
muy bueno el contendio de tus tutoriales, gracias x compartir
@CodeWithAarohi2 ай бұрын
Glad my content is helpful!
@johnthomas64577 ай бұрын
Great explanation. Keep adding new videos :)
@CodeWithAarohi7 ай бұрын
Thank you, I will
@SS-zq5sc Жыл бұрын
This was extremely helpful thank you very much. I subscribed.
@CodeWithAarohi Жыл бұрын
Thanks for the sub!
@Sunil-ez1hx7 ай бұрын
Worth watching it again
@aliafkari874 Жыл бұрын
Keep up the good work😊
@CodeWithAarohi Жыл бұрын
Thank you, I will
@pifordtechnologiespvtltd56987 ай бұрын
Amazed
@soravsingla657411 ай бұрын
Awesome
@CodeWithAarohi11 ай бұрын
Thanks
@deeper_learning4 ай бұрын
Thanks for the clear explanation. I just couldn't understand how the Masked MSA works. If I could find out, I'll write back.
@deeper_learning4 ай бұрын
we have already done the patch partitioning. So, after the window shift, pixels in one local window may come from several local windows that are not adjacent. What should we do? so a masking mechanism is employed to limit self-attention computation to within each sub-window. Then the computed values are return to their original positions.
@tikendraw Жыл бұрын
I understand you studied it thoroughly, but can you implement the transformer, I am asking because I myself find it difficult to create this transformers in papers. Can you? Do you? Good work btw .
@CodeWithAarohi Жыл бұрын
Next video will be a implementation of Swin Transformer.
@shitizgoel50272 ай бұрын
Really very helpful video Ma'am to understand the concept of Swin Transformer.
@CodeWithAarohi2 ай бұрын
Glad to hear that
@jeffg46866 ай бұрын
Nice. Is this like the new way for vision transformers, or is this specific for certain tasks?
@CodeWithAarohi6 ай бұрын
The SWIN Transformer is designed for visual recognition tasks, particularly suited for processing high-resolution images efficiently. It breaks down images into patches and processes them hierarchically, making it useful for tasks like classification, object detection, and segmentation.
@marzi869 Жыл бұрын
Thanks a lot, I can't believe there is just 40 likes!!!!!!!
@CodeWithAarohi Жыл бұрын
Glad video was helpful!
@vasut6047 Жыл бұрын
Hi mam, If possible do a video on how to implement Meta-DeTR
@CodeWithAarohi Жыл бұрын
Sure
@sadafsolangi419410 ай бұрын
Hello, mam I'm working on the diagnosis of skin diseases and I have done implementation by using Vit, so I wanna ask if should i use Swin transformer and concatenate both Vit and Swin transformer together to make novelty? I need your suggestion, please.
@CodeWithAarohi10 ай бұрын
Yes, you can experiment with combining ViT and Swin Transformer using ensemble methods to potentially improve skin disease diagnosis, but carefully evaluate individual performances and consider computational resources.
@FinalProject-rw1yf3 ай бұрын
Hi, have you done the ensemble of vit and swin transformer?
@palurikrishnaveni8344 Жыл бұрын
Awesome madam, everytime eagrly waiting yours video, way of explanation is very clear and every one can understood easily Waiting for implementation video also One request I saw yours all gans videos, but if possible can you make conditional dcgan implementation video for any color images. Happy learning
@CodeWithAarohi Жыл бұрын
Will try to do a video soon.
@palurikrishnaveni8344 Жыл бұрын
Thank you
@sanjoetv5748 Жыл бұрын
please make a landmark detection here in vision transformer. i greatly in need for this project to be finished and the task is to create a 13 landmark detection using vision transformer. and i cant find any resources that teaches how to do a landmark detection if vision transformer. this channel is my only hope.
@CodeWithAarohi Жыл бұрын
I will try to make it but bit busy for few days
@sanjoetv5748 Жыл бұрын
Thank you @@CodeWithAarohi
@luiscoelho352310 ай бұрын
Great video! Congratulations!
@CodeWithAarohi10 ай бұрын
Glad you liked it!
@mvi2910 ай бұрын
Best video ever!! Clear explanations. Thanks a lot.
@CodeWithAarohi10 ай бұрын
Glad it was helpful!
@harharmahadev8624 Жыл бұрын
Wow, great explanation...... 👍
@CodeWithAarohi Жыл бұрын
Glad it helped
@deepalikumari30 Жыл бұрын
superb explanation
@CodeWithAarohi Жыл бұрын
Thank you so much 🙂
@anantmohan3158 Жыл бұрын
Nicely Explained..!
@CodeWithAarohi Жыл бұрын
Thank you!
@muhammadatique4293 Жыл бұрын
You are just amazing by explaining it so simple
@CodeWithAarohi Жыл бұрын
Thank you so much 😀
@soravsingla657411 ай бұрын
Code with Aarohi is Best KZbin channel for Artificial Intelligence #BestChannel #KZbinChannel #ArtificialIntelligence #CodeWithAarohi #DataScience #Engineering #MachineLearning #DataAnalysis #BestLearning #LearnDataScience #DataScienceCourse #AytificialIntelligenceCourse #Codewithaarohi #CodeWithAarohi