Pretrained models in CNN | ImageNET Dataset | ILSVRC

Pretrained models in CNN | ImageNET Dataset | ILSVRC | Keras Code

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CampusX

Күн бұрын

Пікірлер: 79

@aj_ai Жыл бұрын

The amount of love and respect for you Sir is so huge. We are so blessed and lucky. Thank you so much Sir.

@deveshnandan323 Жыл бұрын

Awesome Video your way of teaching things from scratch is just next level , A Big Thanks :)

@pawanbhatt314 Жыл бұрын

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.

@rahulagowda 7 ай бұрын

sir alexnet was built by alex krizhevsky btw the way u teach is just awesome

@user-pu2rp2qj8q 10 ай бұрын

Small correction 1.4 million is 14 Lakh not 1.4 Crore

@rahulphatak2909 Ай бұрын

Dataset size is 14 million

@AdityaKumar-iy7ny Ай бұрын

The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy.

@aparajitabose8435 Жыл бұрын

Dr. Fei Fei Li is "SHE" not "He". She is Stanford Professor now. thank you for your videos .:)

@rauhan_sheikh Жыл бұрын

just one correction sir, Fei Fei Li is a woman. As usual, it was a great video.

@dakshbhatnagar Жыл бұрын

Once again just as good explanation.

@bibhutibaibhavbora8770 Жыл бұрын

I learn from the best.

@life3.088 Жыл бұрын

welcome back sir

@chiragPatel22c Жыл бұрын

bahot mast samjaya sir! 👏👏

@impractical_shivani5831 11 ай бұрын

Thanks for the great content. Btw, Fei-Fei Li is a woman 🙂

@ramleo1461 Жыл бұрын

if possible please make video series on python oop, your way of teaching is very good

@campusx-official Жыл бұрын

kzfaq.info/get/bejne/g8xihcehqs-8mok.html

@ramleo1461 Жыл бұрын

I have already watched that video....I was requesting videos series like 100 days of python oop or 50 days of python oop

@ajitnayak2919 Жыл бұрын

Great content sir ....and wonderful explanation!!....

@CuriousBoy3566 Жыл бұрын

Love from Maharastra sir

@Gradient276 5 ай бұрын

ResNET win the competition of ILSVRC in the year 2015 actually!!

@shabanakhatoon1174 8 ай бұрын

nice explanation

@kindaeasy9797 Ай бұрын

amazing lectureeee

@subashchandrapakhrin3537 Жыл бұрын

Bro Fei Fei Li is She or Madam professor of Stanford.

@SwiftMind11 Жыл бұрын

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.

@campusx-official Жыл бұрын

Yes my bad!

@anishkhatiwada2502 8 ай бұрын

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.

@veera.akasapu 6 ай бұрын

its actually 14 million not 141 million

@kanhabansal524 Жыл бұрын

best playlist

@wanderlust_womaniya Жыл бұрын

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

@rafibasha4145 Жыл бұрын

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

@jaffa-nm6cu Жыл бұрын

Also BERT,GPT ,OPEN CV,OBJECT detection,YOLO etc

@dhruvilraval7504 Жыл бұрын

Superb Content Sir! When are you planning to finish this playlist latest by?

@balveersingh3051 Жыл бұрын

Thank you so much

@narendraparmar1631 6 ай бұрын

Thanks for the explanation

@csedepartment236 Жыл бұрын

Thank You Sir!

@DilipKumar-jm3ly 4 ай бұрын

all yours great videos are!

@sachindubey1590 Жыл бұрын

14 million I think....☺️

@sohampatil2227 Жыл бұрын

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 🙏🙏🙏

@ZOBAER496 9 ай бұрын

Is their any pre-trained model for 1D-CNN? The model has to be trained on 1D time-series data.

@angamerz319 Жыл бұрын

Thank you!

@mdriad4521 Жыл бұрын

💖💖from Bangladesh.

@mrityunjayupadhyay7332 Жыл бұрын

Nice👍👍

@arundhatidas6898 Жыл бұрын

Correction: VGG and GoogleNet won in the same year 2014

@mihretdesta9153 Жыл бұрын

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?

@electricalengineer5540 Ай бұрын

Legend

@sandipansarkar9211 Жыл бұрын

finished watching

@saman__fatima 6 ай бұрын

thanks alot for this video

@harshjaiswal3078 Жыл бұрын

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

@vitalikbutarin6580 Жыл бұрын

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 🙏🙏

@umangdobariya5680 Жыл бұрын

nice video

@adarshraj-ox1xr 6 ай бұрын

Sir Deep Learning Series ko continue kr do sir please

@dhirajshastri7221 Жыл бұрын

Why no one is able to make cotton price prediction using ML?

@sanjaykumarnandi25 Жыл бұрын

Sir when u give us all notes and codes of deeplearning for practice

@electricalengineer5540 Ай бұрын

❤❤❤

@majidhabibkhan625 5 ай бұрын

sir kindly make a new video for multimodal architecture

@akshayhasabe8766 Жыл бұрын

Please do end to end cnn project please...

@fozler Жыл бұрын

Bro can cover about fusion model?

@Sara-fp1zw Жыл бұрын

waiting for your video.

@ahmbilal 3 ай бұрын

code in end is not working

@tarungoel4323 Жыл бұрын

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.

@commonsense1019 Жыл бұрын

bhai thankyou

@piyushpathak7311 Жыл бұрын

Please start RNN ..

@Sara-fp1zw Жыл бұрын

Sir kindlyy make video on tf records.

@siddhant_n 9 ай бұрын

Sir, how to remember all coding stuff. Everyday learning different things.

@KALI-bv2cg 8 ай бұрын

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.