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hi mam thanks for this video, if it's possible for you to please spare some time form your Presious's time to create a video on VIT practical implementation and also SWIN transformer as Mahendi design on your hands shows you may be busy in some kind of a marriage ceremony.
Mam can we add text output on the basis of image and how ?? If you can make video on this problem it would helpful for us. And for this Thank you for Video...
@@CodeWithAarohiHindi-h5b Mam bases of Uploaded image on Train Model it will identify By Bonding Box and explain what exactly it is(eg. X ray of Human Chest, it will Classify it is bone fracture or a tumor in chest. Let assume If it is Tumor and model make Bonding Box and it also give Text output related the tumor.)
After processing, the encoder gives a set of vectors for each word. These vectors contain information about the relationships between words. The decoder needs an initial word to start generating its output. This is usually a special token like <start>. So that means the decoder takes the encoder's output and the <start> token to produce the first word of the output.
As i am working on Anaconda jupyter notebook which is being installed .now i am following your video for setup GPU . My question is should i create again new python environment for GPU?
You can install the pytorch or tensorflow framework on base environment (base environment is the default environment of anaconda) also. Just make sure that your tensorflow or pytorch is compiled with cuda. And if you don't want to work in base environment. then you can create separate environment and install everything under it.
The only problem that I don't necessarily create a separate env for my work. I usually work on the base environment which is why I was having a trouble to configure my cuda with my env. But, ur video has helped me to connect to my cuda toolkit❤. Thanks for creating such an informative content
Dear madam, I hope you continue making these videos, it is really very helpfull. I love the work you are doing. Also please provide the .ipynb file which is missing in the description. I will be very thankful.
@@CodeWithAarohiHindi-h5b Mam I have a question I am confused here about where the word ""mujay"" comes from as you said we feed the word mujay in Mask Multi-Head Attention.
@@CodeWithAarohiHindi-h5b Mam i know the word mujeh comes from I but I want to know the mechanism is this coming from the last encoder or the first decoder?
Thanks allot super arohi mam, highly appreciated, will be waiting for other videos in Hindi like vit and swin transformer network explanation in details for classification detection and segmentation 🙏
"Absolutely brilliant explanation, Arohi! 🌟 You made understanding Transformers so much easier with your clear breakdown of the key components and their significance in AI. The way you explained the architecture, especially its impact on natural language processing, was top-notch! Looking forward to more insightful videos like this. 👏🔥"
mam please do reply , i have properly installed the cuda and cudnn i need to work with tensorflow cnn models when i am trying to access the gpu it is showing 0 even i have rtx 2050
i made my object detection model for water level it's only have issue prediction score on realtime object it give 0.23 0.32 max it showed me 0.87 on realtime captured image i have 33 images i have use 200 epochs how can i make it realtime on cpu with more confidence score
Hi mam I want to create custom dataset to check water level in bottle which data set i can use or i have to take my own picture and create dataset can you make video on it?
@@CodeWithAarohiHindi-h5b Hi mam the link u given it doesn't show how to use that to train model or make model from that data and test that train model there is anything which can help me to undersatnd to create multiple annotation on data and train that date and how to use that custom train data model.pt
Hi Sister, I tried executing the whole demonstration but after training my model summary had only a single row (all), the (No_tumor, glioma, meningioma, pituitary) rows didn't show up, also the model was unable to predict the tumor, can you explain or guide me in this please
The (box_loss, cls_loss, dfl_loss) displays "nan" and the Box(P, R, mAP50, mAP50-95) displays only "0" in all the 20 epochs, what could be the possible reason