Hey let me know which Kaggles could be interesting for future videos and what you think of these so far. Share your thoughts on what you think can be improved with these Kaggle videos so I can make them even better :) Timestamps for the video: 0:00 - Introduction to competition 0:52 - Why? 1:22 - The data and the task 3:13 - Metric used 3:43 - A more in depth look at the data 7:24 - The steps of the solution 10:00 - Code: config 13:00 - Code: dataset 18:52 - Code: split_data 20:32 - Understanding submission format 21:57 - Code: utils 26:07 - Code: train/main file 31:22 - Fixing a small error 32:05 - Checking the score of submission 32:40 - How to improve it further? 34:55 - My 2 things to try for improving the score 35:15 - Ending & my thoughts on Kaggle
@rohangupta95483 жыл бұрын
Something related to self driving It will be helpful
@maxscheijen3 жыл бұрын
I really like this series about kaggle solutions!
@benmiss17673 жыл бұрын
Yup I agree it’s really great !
@yehdhihanna61143 жыл бұрын
Another one. I mean i agree too :)
@frkkful3 жыл бұрын
Thank you. As a ML beginner, I learned a lot from your approach.
@HailemariamMogesT2 жыл бұрын
WoW! Great Work! I'm knew to computer vision but want to delve into in practice. Do you have any idea how can I get a facial key point detection dataset? AND how to combine the FER2013 dataset with facial key point detection after getting facial key point detection dataset to do the facial expression recognition? Thank you.
@aurkom Жыл бұрын
This series of kaggle competitions is quite fun!
@ggzet65353 жыл бұрын
Thanks for the videos! How is your color theme calls?
@sumanmahapatra88813 жыл бұрын
Aladdin, please continue implementing some of the GAN models. Please implement Encoder Decoder based GAN model involving a Latent space like BiGAN ( Adversarial Feature Learning). Interpreting latent space is a burning topic now a days. Thanks.
@alexkonopatski4293 жыл бұрын
This is such a great series and i really like it. But how did you get these files like "15-Keypoints", "4-Keypoints"? Did you extract them and or how did you do it. Because if i download the dataset from kaggle and i don't get these files. I looked through your code i cannot find it where you did it. It would be pretty cool if someone else could might say it or you. I wish everyone a good day!
@murtazaburhani40223 жыл бұрын
I thank youtube algorithm for dropping me on this channel! It's truly a gem.
@deepamgautam3 жыл бұрын
Can u plz make a video on landmarks (keypoint) detection in 3D images, for example 3D MRI scan images
@for-ever-22 Жыл бұрын
These videos are extremely helpful. Thank you
@Jake-om9no Жыл бұрын
At 31:05, you said: "I trained it for 10 epochs, I first had the learning rate to be 1e-4, and changed it to 1e-5, then I trained for a couple of epochs more..." Given what you said above ↑, just wonder (perhaps a stupid question): how did you manage to stop the training before changing LR to 1e-5 and continue the training after that? I downloaded your code, but it does not seem to provide a mechanism to do that. (Though I can change the code to perform the task, I just wonder how exactly you did do it, )
@macaronminmin3 жыл бұрын
Thanks for the amazing video. unrelated but I just love your keyboard sound! Could you share what keyboard you use?
@AladdinPersson3 жыл бұрын
How did you even hear it? I bought with silent mx reds in order for it not to make sound haha
@ardavanmodarres47203 жыл бұрын
good job! thank you so much. you are the best, man!
@rs91302 жыл бұрын
how to extend for multi-face detection. is there any dataset?
@MrMarcowally3 жыл бұрын
if you are using effnet b0 from pretrained why not use the mean and std values used in ImageNet pretraining to normalize? the values you use, you calculated from your dataset?
@motbus37 ай бұрын
Hey. I worked quite q but with such applications. The images are not duplicates but different facial expressions
@emransaleh95353 жыл бұрын
Good job! It would be nice if you add a github repo of this work in the description.
Will you please tell how to improve coding skills and logics for Deep learning
@truonggianga2tk423 жыл бұрын
Thank you very much and wait other video about kaggle competitions :)
@AdobadoFantastico3 жыл бұрын
Thanks, this is super enlightening.
@andihaki3 жыл бұрын
Any "working" references for training face keypoint in tensorflow? Thank you
@chinweikechukwu47813 жыл бұрын
Hi, Aladdin. Please do a video on Grad-Cam
@yannickpezeu34193 жыл бұрын
Hi Aladdin, would you do a tutorial on Tensorflow Probability one day ?
@1chimaruGin0_03 жыл бұрын
Awesome video. If possible, please make videos of ensemble and stacking.😁
@mohdkashif72953 жыл бұрын
Please make a series on using pretrained models in pytorch using basicblock and bottleneck, because I have loved your series of implementing models but i want to see pre existing models modification according to data.
@NatureSerenades6543 жыл бұрын
I trained on gtx1070, but found that the val loss just don't decrease after a few epochs, and I changed train.py , in detail, I only let the .pth file update when the val loss in this epoch is lower than the lowest val loss. However, my submission only got score 4.9. Could you help analyse this ? Thanks! Poor English, hope my description is clear.
@odysseashlap3 жыл бұрын
This is top! Keep up the good stuff!
@pabbirahul74953 жыл бұрын
hello sorry for this interruption but sir please check the ESRGan tutorial comments please upload the pretrained weights for them which helps us a lot thank you
@adamtran57472 жыл бұрын
I cannot find images used in this competition. Did Kaggle take them off?
@hackingpirate39733 жыл бұрын
can stream the watermark remover using GAN on twitch sometime? BTW great video, liked it!
@samibenhssan31213 жыл бұрын
Please @aladdin keep going with kaggle solutions series but with more recent competitions....
@AladdinPersson3 жыл бұрын
Sure, got any recommendations?
@samibenhssan31213 жыл бұрын
@@AladdinPersson What about this one www.kaggle.com/c/siim-covid19-detection
@mythorganizer42223 жыл бұрын
@@samibenhssan3121 bro it's ongoing 😂
@oliverc31043 жыл бұрын
could you please do a neural turing machine from scratch? That would be cool.
@chedychedychedy2 жыл бұрын
how do you extract the images from csv files?
@angelospapadopoulos76792 жыл бұрын
import numpy as np import pandas as pd import os from PIL import Image def extract_images_from_csv(csv, column, save_folder, resize=(96, 96)): if not os.path.exists(save_folder): os.makedirs(save_folder) for idx, image in enumerate(csv[column]): image = np.array(image.split()).astype(np.uint8) image = image.reshape(resize[0], resize[1]) img = Image.fromarray(image, 'L') img.save(save_folder+f"img_{idx}.png") csv = pd.read_csv("test.csv") extract_images_from_csv(csv, "Image", "data/test/")