Відео

Thanks a Lot. Please start Transformers for NLP and Vision if possible.

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I disagree with the ease of implementation, it all depends on your own transfer learning or inference file. There are heaps of examples where you just parse items and use single CLI for both SSD and Faster-RCNN. Ultimate winner should be SSD due to it’s inference and latency plus the ability to be used commercially. Most of yolo algorithms are either AGPL or GPL licensed, which requires heaps of money to be used commercially!

Sir i want to use RCNN for number plate detection, how to do this ? Please reply

Great video. Thank you for your contributions to knowledge.

Bhaiya, i request to you please do code also so that we can learn and know more about mediapipe

This is one of the best explanation ever, thanks a lot

how to import a torch library

Bhaiya, are open cv and mediapipe relevant to learn? Is there any future of it ?? Plzz reply because I got stuck in my life. Plz show me direction 😢

The problem is that there is no code in this. I have watched a lot of UA-cam tutorials and I know that you are very good at explaining your coding which most UA-camrs take for granted. That is why I think making code focused tutorials would be better and along with you can supplement some theory

Please provide roadmap for computer vision, there's not particular path for it, like cnn,yolo, diffusion models,etc, etc

Ur linkedin link?

after rerun its getting 0 with same code

why y1 < y3 and y2 < y4?

For freshers(internship/job) should we use two column resume or one column

For freshers(internship/job) should we use two column resume or one column

very well explained

I learnt Deep Learning and Machine Learning to apply to Haeltcare Problems. Please do feature Healthcare Related Projects specifically Vision Related Tasks. If possible try to feature some less common projects which require more in depth knowledge of DL and Vision

Thanks a LOT Amazing, this is something that is overlooked EVERYWHERE. Just one request that apart from the NLP and Vision Projects please do make projects which use Anutoencoders coz thay are being overlooked. They are right now only used in Segmentation but they also can do Anomaly Detection so please do explore that topic as it is very useful and strangely extremely ignored. One more request would be to please cover Autoencoders a little bit thoretically and write it from scratch .

I want to finetune YOLOv8 model on a custom dataset downloaded from Roboflow but my pc doesn't have necessary resources. How can I achieve this over Kaggle or Colab. Make a small tutorial if possible. Thanks in advance 👍

Deep learning is a subset of machine learning. This is why nobody is asking the question. All DL is ML.

While appending loss to the all_losses list should we take the mean of losses across all the training samples or the sum of all losses ? Because in CNN and MLP we used to take mean of all the losses but here that is not done.

I have learned ML algorithms, ANN, CNN, NLP and YOLO What should I do or learn next ? What a client needs or expects me (as an Ai engineer) to submit , is it the only model weights (model.h5) or something else?