thankyou for being regular and uploading videos. you're the reason for me being not feel low and be motivated to study deep learning and one day write research papers.
One minor correction at 6:22, 1.4 million means 14,000,00 (14 lakh) not 1.4 crore, and actually it is 1.4 crore so instead of 1.4 million, it is 141 million, exactly 14,197,122.
Sir agar me abhi computer science ke jageh be/btech in AI and Data science lu toh kya mujhe IT companies me IT job lagega in case AI me job nahi lagi toh 🙏🙏🙏
hey sir? I have one question for you about image resizing, my image dimensions are 1650*3500 height and width but which one is the best size for resizing an image for developing a CNN model?
Hi Nitish.. Thank you for explaining it so clearly and in layman terms. I have one doubt on why there is a need to expand the dimensions of image before sending it to preprocessing? If you could explain, it will be really helpful
Hi Nitish bro ,how was your trip ..Please cover Tensorboard,call back,transfer learning. Also pls finish python and nlp with advance videos also feature selection dbscan in ml playlist ..start Mlops and cloud videos
Sir happy navratri I am following you since 3 months and completed your both ML and DL playlist can you please direct me how to deploy model using online platforms like colab and ngrok without installing any other software
I believe you're referring to Dr. Fei Fei Li, female Professor of Computer Science at Stanford University. You were saying "he" so just a small correction, hope you don't mind.
visit keras , read basics, learn how to think n create n start building. you can take reference of previously build model architectures. And focus on single thing.
The amount of love and respect for you Sir is so huge. We are so blessed and lucky. Thank you so much Sir.
thankyou for being regular and uploading videos.
you're the reason for me being not feel low and be motivated to study deep learning and one day write research papers.
sir alexnet was built by alex krizhevsky
btw the way u teach is just awesome
Awesome Video your way of teaching things from scratch is just next level , A Big Thanks :)
Sir your explanation is so perfect and simple, no other channel can do like this, keep this uniqueness 👍
Dr. Fei Fei Li is "SHE" not "He".
She is Stanford Professor now. thank you for your videos .:)
One minor correction at 6:22, 1.4 million means 14,000,00 (14 lakh) not 1.4 crore, and actually it is 1.4 crore so instead of 1.4 million, it is 141 million, exactly 14,197,122.
its actually 14 million not 141 million
Small correction 1.4 million is 14 Lakh not 1.4 Crore
Dataset size is 14 million
The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy.
nice explanation
bahot mast samjaya sir! 👏👏
Great content sir ....and wonderful explanation!!....
I learn from the best.
ResNET win the competition of ILSVRC in the year 2015 actually!!
Superb Content Sir! When are you planning to finish this playlist latest by?
just one correction sir, Fei Fei Li is a woman. As usual, it was a great video.
Once again just as good explanation.
Bro Fei Fei Li is She or Madam professor of Stanford.
Love from Maharastra sir
Correction: VGG and GoogleNet won in the same year 2014
if possible please make video series on python oop, your way of teaching is very good
ua-cam.com/video/Mf2RdpEiXjU/v-deo.html
I have already watched that video....I was requesting videos series like 100 days of python oop or 50 days of python oop
Thanks for the great content. Btw, Fei-Fei Li is a woman 🙂
Sir agar me abhi computer science ke jageh be/btech in AI and Data science lu toh kya mujhe IT companies me IT job lagega in case AI me job nahi lagi toh 🙏🙏🙏
hey sir? I have one question for you about image resizing, my image dimensions are 1650*3500 height and width but which one is the best size for resizing an image for developing a CNN model?
Hi Nitish.. Thank you for explaining it so clearly and in layman terms. I have one doubt on why there is a need to expand the dimensions of image before sending it to preprocessing? If you could explain, it will be really helpful
Hi Nitish bro ,how was your trip ..Please cover Tensorboard,call back,transfer learning. Also pls finish python and nlp with advance videos also feature selection dbscan in ml playlist ..start Mlops and cloud videos
Also BERT,GPT ,OPEN CV,OBJECT detection,YOLO etc
amazing lectureeee
Thanks for the explanation
welcome back sir
Why no one is able to make cotton price prediction using ML?
Thank you so much
Is their any pre-trained model for 1D-CNN? The model has to be trained on 1D time-series data.
if it's a time series you should look into RNN and other things
best playlist
Thank You Sir!
Sir when u give us all notes and codes of deeplearning for practice
💖💖from Bangladesh.
Bro can cover about fusion model?
all yours great videos are!
Hi sir,
Please complete 100 days of ml playlist
Feature selection is pending I think.
Please please review that playlist once. Its a humble request 🙏🙏
Nice👍👍
code in end is not working
14 million I think....☺️
Sir happy navratri
I am following you since 3 months and completed your both ML and DL playlist
can you please direct me how to deploy model using online platforms like colab and ngrok
without installing any other software
thanks alot for this video
Thank you!
I believe you're referring to Dr. Fei Fei Li, female Professor of Computer Science at Stanford University. You were saying "he" so just a small correction, hope you don't mind.
Yes my bad!
Sir Deep Learning Series ko continue kr do sir please
sir kindly make a new video for multimodal architecture
Hi sir, I have one question: can we use this Resnet 50 for regression (if input data have some values) problems, not for image problems.
Please do end to end cnn project please...
Sir, how to remember all coding stuff. Everyday learning different things.
visit keras , read basics, learn how to think n create n start building. you can take reference of previously build model architectures. And focus on single thing.
nice video
Learning new concepts.
July 24, 2023😅
Sir kindlyy make video on tf records.
1.4 million means 14 lakh btw
Please start RNN ..
waiting for your video.
Legend
finished watching
Bro when you start RNN ?
In a week
❤❤❤
YOLO, detectron, fast cnn etc
👌
bhai thankyou
Why Pretrained Models:
i) DL is data hungry
ii) Model training take time if you have huge dataset
14L not 1.4 cr
li is she not he sir
1.4 million = 14 lakhs
1.4 Million= 14 lakh
?
bro 1.4 millions == 14 lacs
Sorry my mistake, it should be 14 million
Fei-Fei Li is a woman
1st comment 😂