Sardor Abdirayimov
Sardor Abdirayimov
  • Видео 42
  • Просмотров 50 157
Najmiddin Ermatov - Ko’k bo’ri kezgan sarhad (Turkiy elning shiddati so'nganga o'xshayotir) | She'r
Najmiddin Ermatovning eng ta'sirli she'ri | Turkiy elning shiddati so'nganga o'xshayotir!
Ko‘k bo‘ri kezgan sarhad itlarga talosh endi,
Ko‘tarilgan bosh emas, birgina quyosh endi,
Uchqun sochgan ko‘zlarning topingani yosh endi,
Turkiy elning shiddati so‘nganga o‘xshayotir.
Sarbadorlar qonini sellar yuvib ketganday,
Millat uchun jon berar alpni devlar yutganday,
Ultontozlar kun sanab, e voh, shuni kutganday,
Elning kuni nomardga qolganga o‘xshayotir.
Yuz ellik yil otangni otganni og‘a sanab,
Dili buzuq kelganning qadamiga gul qadab,
Yo, HAQ, deya yonganning mozoriga tosh qalab,
Saroyingga qarg‘alar qo‘nganga o‘xshayotir.
Eldan chiqib elidan irganganlar ko‘ringay,
O‘z tarixin o‘zgadan o‘rganganlar ko‘rin...
Просмотров: 451

Видео

On Deep Learning by Ian Goodfellow et al: Applications | Chapter 1218:21On Deep Learning by Ian Goodfellow et al: Applications | Chapter 12
On Deep Learning by Ian Goodfellow et al: Applications | Chapter 12
Просмотров 1676 месяцев назад
Dive into Chapter 12 of the 'Deep Learning' book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, where we explore the wide range of applications that deep learning has revolutionized. This video showcases how deep learning techniques are applied across various fields such as image recognition, natural language processing, autonomous vehicles, and more, highlighting the transformative imp...
[She’r] CHO'LPON - GO'ZAL1:56[She’r] CHO'LPON - GO'ZAL
[She’r] CHO'LPON - GO'ZAL
Просмотров 5376 месяцев назад
[She’r] Cho'lpon - Go'zal | ГЎЗАЛ Qorong‘u kechada ko‘kka ko‘z tikib, Eng yorug‘ yulduzdan seni so‘raymen, Ul yulduz uyalib, boshini bukub, Aytadir: men uni tushda ko‘ramen. Tushimda ko‘ramen - shunchalar go‘zal, Bizdan-da go‘zaldir, oydan-da go‘zal! Ko‘zimni olamen oy chiqqan yoqqa, Boshlaymen oydan-da seni so‘rmoqqa. Ul-da aytadir: bir qizil yanoqqa Uchradim tushimda, ko‘milgan oqqa. Oqqa ko‘...
On Deep Learning by Ian Goodfellow et al: Practical Methodology | Chapter 1119:50On Deep Learning by Ian Goodfellow et al: Practical Methodology | Chapter 11
On Deep Learning by Ian Goodfellow et al: Practical Methodology | Chapter 11
Просмотров 1806 месяцев назад
Practical Methodologies in Deep Learning | 'Deep Learning' by Ian Goodfellow et al, Chapter 11 Join us as we delve into Chapter 11 of the 'Deep Learning' book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, focusing on the practical methodology of developing deep learning projects. This video outlines the step-by-step strategies and best practices essential for effectively approaching de...
On Deep Learning by Ian Goodfellow et al: Recurrent Neural Networks | Chapter 1013:21On Deep Learning by Ian Goodfellow et al: Recurrent Neural Networks | Chapter 10
On Deep Learning by Ian Goodfellow et al: Recurrent Neural Networks | Chapter 10
Просмотров 1416 месяцев назад
Exploring Recurrent Neural Networks | 'Deep Learning' by Ian Goodfellow et al, Chapter 10 Discover how RNNs differ from traditional feedforward neural networks by maintaining a memory of previous inputs, allowing them to handle input sequences of varying lengths with dynamic temporal behavior. We will delve into the architecture of RNNs, including discussions on the challenges of training them,...
On Deep Learning by Ian Goodfellow et al: Convolution Networks | Chapter 919:08On Deep Learning by Ian Goodfellow et al: Convolution Networks | Chapter 9
On Deep Learning by Ian Goodfellow et al: Convolution Networks | Chapter 9
Просмотров 2216 месяцев назад
Exploring Convolutional Networks | 'Deep Learning' by Ian Goodfellow et al, Chapter 9 Join us for a deep dive into Chapter 9 of the 'Deep Learning' book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, focused on the transformative world of convolutional networks. This video thoroughly explains the principles and structures of convolutional networks, which are at the heart of many advance...
On Deep Learning by Ian Goodfellow et al: Optimization for Training Deep Models | Chapter 832:57On Deep Learning by Ian Goodfellow et al: Optimization for Training Deep Models | Chapter 8
On Deep Learning by Ian Goodfellow et al: Optimization for Training Deep Models | Chapter 8
Просмотров 4497 месяцев назад
Dive into Chapter 8 of the 'Deep Learning' book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, where we explore the sophisticated world of optimization for training deep learning models. This video delves into the common challenges faced in optimization, such as saddle points, vanishing gradients, and the need for effective hyperparameter tuning. Additionally, we discuss a range of opti...
Feed Forward Neural Networks (Multi-Layer Perceptron) in Python | Mastering Deep Learning46:40Feed Forward Neural Networks (Multi-Layer Perceptron) in Python | Mastering Deep Learning
Feed Forward Neural Networks (Multi-Layer Perceptron) in Python | Mastering Deep Learning
Просмотров 1437 месяцев назад
Feedforward Neural Networks in Python | Mastering Deep Learning Dive into the practical application of feedforward neural networks, also known as Multi-Layer Perceptrons (MLP), with this hands-on Python tutorial. We tackle two iconic problems in the field of AI: solving the XOR problem and classifying species in the Iris dataset. Learn how to master these foundational challenges using deep lear...
[She’r] Mansur Jumaev - Azizam0:47[She’r] Mansur Jumaev - Azizam
[She’r] Mansur Jumaev - Azizam
Просмотров 2687 месяцев назад
[She’r] Mansur Jumaev - Azizam #sher #sheriat #qaqnus #mansurjumaev #azizam #mutolaa
On Deep Learning by Ian Goodfellow et al: Normalization for Deep Learning | Chapter 738:49On Deep Learning by Ian Goodfellow et al: Normalization for Deep Learning | Chapter 7
On Deep Learning by Ian Goodfellow et al: Normalization for Deep Learning | Chapter 7
Просмотров 3067 месяцев назад
Explore Chapter 7 of the groundbreaking 'Deep Learning' book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, dedicated to the essential regularization strategies that enhance the generalization of deep learning models. This video dives deep into norm penalties, dropout, data augmentation, and multitask learning, among other methods, illustrating how these techniques prevent overfitting a...
On Deep Learning by Ian Goodfellow et al: Understanding Backpropagation | Chapter 613:24On Deep Learning by Ian Goodfellow et al: Understanding Backpropagation | Chapter 6
On Deep Learning by Ian Goodfellow et al: Understanding Backpropagation | Chapter 6
Просмотров 2167 месяцев назад
Understanding Backpropagation: The Heart of Neural Networks | 'Deep Learning' by Ian Goodfellow et al, Chapter 6 Join us as we delve into the crucial mechanics of backpropagation within Chapter 6 of the 'Deep Learning' book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville. This video succinctly explains backpropagation in multilayer perceptrons (MLP), showcasing it as the cornerstone diffe...
On Deep Learning by Ian Goodfellow et al: Deep Feedforward Networks | Chapter 627:29On Deep Learning by Ian Goodfellow et al: Deep Feedforward Networks | Chapter 6
On Deep Learning by Ian Goodfellow et al: Deep Feedforward Networks | Chapter 6
Просмотров 2847 месяцев назад
Deep Dive into Deep Feedforward Networks | 'Deep Learning' by Ian Goodfellow et al, Chapter 6 Embark on an in-depth exploration of Chapter 6 from the 'Deep Learning' book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, where we dissect the complexities of deep feedforward networks. This video offers a detailed explanation of how these networks, also known as multilayer perceptrons, are t...
On Deep Learning by Ian Goodfellow et al: Supervised/Unsupervised Learning & Challenges | Chapter 518:09On Deep Learning by Ian Goodfellow et al: Supervised/Unsupervised Learning & Challenges | Chapter 5
On Deep Learning by Ian Goodfellow et al: Supervised/Unsupervised Learning & Challenges | Chapter 5
Просмотров 1397 месяцев назад
On Deep Learning by Ian Goodfellow et al: Supervised/Unsupervised Learning & Challenges | Chapter 5 Join us as we delve into Chapter 5 of the influential "Deep Learning" book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville, where we explore the dynamics of both supervised and unsupervised learning. This video sheds light on popular algorithms like Support Vector Machines (SVM), Decision T...
Logistic Regression in Python | Mastering Deep Learning32:21Logistic Regression in Python | Mastering Deep Learning
Logistic Regression in Python | Mastering Deep Learning
Просмотров 1097 месяцев назад
Logistic Regression in Python | Visualizing Decision Boundaries and Optimization Dive into the world of binary classification with our practical session on logistic regression, where we craft and visualize the decision boundary using a synthetic dataset. This hands-on tutorial is ideal for learners who want to see logistic regression in action, illustrating how the log loss function is minimize...
Linear Regression in Python | Mastering Deep Learning40:03Linear Regression in Python | Mastering Deep Learning
Linear Regression in Python | Mastering Deep Learning
Просмотров 1577 месяцев назад
Linear Regression in Python | Coding from Scratch with Simple Datasets Step into the practical world of linear regression with our comprehensive tutorial, where we build a linear regression model from scratch using a simple generated dataset. This detailed guide is perfect for learners eager to understand how theoretical data science concepts can be implemented effectively through Python. Watch...
On Deep Learning by Ian Goodfellow et al: Capacity, Overfitting and Underfitting | Chapter 523:20On Deep Learning by Ian Goodfellow et al: Capacity, Overfitting and Underfitting | Chapter 5
On Deep Learning by Ian Goodfellow et al: Capacity, Overfitting and Underfitting | Chapter 5
Просмотров 2407 месяцев назад
On Deep Learning by Ian Goodfellow et al: Capacity, Overfitting and Underfitting | Chapter 5
On Deep Learning by Ian Goodfellow et al: Machine Learning Basics | Learning Algorithms | Chapter 534:48On Deep Learning by Ian Goodfellow et al: Machine Learning Basics | Learning Algorithms | Chapter 5
On Deep Learning by Ian Goodfellow et al: Machine Learning Basics | Learning Algorithms | Chapter 5
Просмотров 3138 месяцев назад
On Deep Learning by Ian Goodfellow et al: Machine Learning Basics | Learning Algorithms | Chapter 5
Gradient Descent in Python | Mastering Deep Learning1:03:05Gradient Descent in Python | Mastering Deep Learning
Gradient Descent in Python | Mastering Deep Learning
Просмотров 4118 месяцев назад
Gradient Descent in Python | Mastering Deep Learning
On Deep Learning by Ian Goodfellow et al: Numerical Computation | Chapter 424:10On Deep Learning by Ian Goodfellow et al: Numerical Computation | Chapter 4
On Deep Learning by Ian Goodfellow et al: Numerical Computation | Chapter 4
Просмотров 2778 месяцев назад
On Deep Learning by Ian Goodfellow et al: Numerical Computation | Chapter 4
«А я то думал, вы счастливая» - Пётр Градов1:28«А я то думал, вы счастливая» - Пётр Градов
«А я то думал, вы счастливая» - Пётр Градов
Просмотров 678 месяцев назад
«А я то думал, вы счастливая» - Пётр Градов
On Deep Learning by Ian Goodfellow et al: Linear Algebra | Chapter 236:11On Deep Learning by Ian Goodfellow et al: Linear Algebra | Chapter 2
On Deep Learning by Ian Goodfellow et al: Linear Algebra | Chapter 2
Просмотров 5448 месяцев назад
On Deep Learning by Ian Goodfellow et al: Linear Algebra | Chapter 2
On Deep Learning by Ian Goodfellow et al: Introduction to Deep Learning | Chapter 1 | Part215:37On Deep Learning by Ian Goodfellow et al: Introduction to Deep Learning | Chapter 1 | Part2
On Deep Learning by Ian Goodfellow et al: Introduction to Deep Learning | Chapter 1 | Part2
Просмотров 3808 месяцев назад
On Deep Learning by Ian Goodfellow et al: Introduction to Deep Learning | Chapter 1 | Part2
On Deep Learning by Ian Goodfellow et al: Introduction to Deep Learning | Chapter 1 | Part123:37On Deep Learning by Ian Goodfellow et al: Introduction to Deep Learning | Chapter 1 | Part1
On Deep Learning by Ian Goodfellow et al: Introduction to Deep Learning | Chapter 1 | Part1
Просмотров 1,8 тыс.8 месяцев назад
On Deep Learning by Ian Goodfellow et al: Introduction to Deep Learning | Chapter 1 | Part1
Build a Naive Bayes Classifier in Python | On Deep Learning Essentials53:52Build a Naive Bayes Classifier in Python | On Deep Learning Essentials
Build a Naive Bayes Classifier in Python | On Deep Learning Essentials
Просмотров 3048 месяцев назад
Build a Naive Bayes Classifier in Python | On Deep Learning Essentials
Kelinchak - Iqbol Mirzo | She'r | O'rik Shoxlari1:32Kelinchak - Iqbol Mirzo | She'r | O'rik Shoxlari
Kelinchak - Iqbol Mirzo | She'r | O'rik Shoxlari
Просмотров 878 месяцев назад
Kelinchak - Iqbol Mirzo | She'r | O'rik Shoxlari
On Deep Learning by Ian Goodfellow et al: Probability and Information Theory | Chapter 334:23On Deep Learning by Ian Goodfellow et al: Probability and Information Theory | Chapter 3
On Deep Learning by Ian Goodfellow et al: Probability and Information Theory | Chapter 3
Просмотров 8548 месяцев назад
On Deep Learning by Ian Goodfellow et al: Probability and Information Theory | Chapter 3
Kuzgi Yomg‘ir: Usmon Azim - "Yomg‘ir Haqida Ballada"4:19Kuzgi Yomg‘ir: Usmon Azim - "Yomg‘ir Haqida Ballada"
Kuzgi Yomg‘ir: Usmon Azim - "Yomg‘ir Haqida Ballada"
Просмотров 329Год назад
Kuzgi Yomg‘ir: Usmon Azim - "Yomg‘ir Haqida Ballada"
Чтение Стихотворения Владимира Листомирова - Связующее звено2:32Чтение Стихотворения Владимира Листомирова - Связующее звено
Чтение Стихотворения Владимира Листомирова - Связующее звено
Просмотров 55Год назад
Чтение Стихотворения Владимира Листомирова - Связующее звено
Seulda Ko'z Kuzatish Hamda Sun'iy Idrok Sohasida Tadqiqot Olib Borayotgan Tadqiqotchini Bir Kun10:59Seulda Ko'z Kuzatish Hamda Sun'iy Idrok Sohasida Tadqiqot Olib Borayotgan Tadqiqotchini Bir Kun
Seulda Ko'z Kuzatish Hamda Sun'iy Idrok Sohasida Tadqiqot Olib Borayotgan Tadqiqotchini Bir Kun
Просмотров 184Год назад
Seulda Ko'z Kuzatish Hamda Sun'iy Idrok Sohasida Tadqiqot Olib Borayotgan Tadqiqotchini Bir Kun
[she’r] Usmon Azim - Baxt haqida ballada2:27[she’r] Usmon Azim - Baxt haqida ballada
[she’r] Usmon Azim - Baxt haqida ballada
Просмотров 392Год назад
[she’r] Usmon Azim - Baxt haqida ballada

Комментарии

  • @SUBH__098
    @SUBH__098 Месяц назад

    Part- 3 please ❤ Chapter - 13 and so on...

  • @kartiksaini-m1f
    @kartiksaini-m1f Месяц назад

    Great work

  • @ziyoyiddin_oddiy
    @ziyoyiddin_oddiy Месяц назад

    Vaaleykum assalom varohmatulloh! Good job 👍

  • @TurinBeats
    @TurinBeats 2 месяца назад

    Hello Sardor. I don't understand how you got the haar cascade file and the svm model file. How can I do the same?

    • @muhammadmudasir1166
      @muhammadmudasir1166 2 месяца назад

      In part 1 he created svm file and you can download cascade file from google

  • @muhammadmudasir1166
    @muhammadmudasir1166 2 месяца назад

    In which software you're writing this code

  • @muhammadmudasir1166
    @muhammadmudasir1166 2 месяца назад

    34:14 it is showing me array([0]) instead of name please help

  • @SmartMoney782
    @SmartMoney782 2 месяца назад

    can you provide detailed notes on it please.

  • @이정희-i4i3f
    @이정희-i4i3f 3 месяца назад

    Assalomu alaykum aka siz bilan telegramdan bog'lansam bo'ladimi bir narsada maslahatizni so'ramoqchidm?

  • @이정희-i4i3f
    @이정희-i4i3f 3 месяца назад

    Assalomu alaykum aka telegramdan bog'lansan bo'ladimi sizga bir narsada maslahatizni soramoqchi edim?

  • @jostech2273
    @jostech2273 3 месяца назад

    Actually, you did a great job, bro. I really do appreciate. Everything is transparent and clear. Keep it up bro!

  • @sayandey1340
    @sayandey1340 3 месяца назад

    make a course on deep learning from scratch in udemy and launch it so that we can understand it in better way.

    • @026_abhirupbasak2
      @026_abhirupbasak2 2 месяца назад

      Easier said than done. That will take a lot of effort and will be reasonably pricey

  • @vijayalaxmiyalavigi6232
    @vijayalaxmiyalavigi6232 3 месяца назад

    Sir, still need clear explanation

  • @junsiknam1030
    @junsiknam1030 3 месяца назад

    Ma shaa alloh

  • @nafisabotirova-su4xj
    @nafisabotirova-su4xj 4 месяца назад

    Excellent

  • @spider279
    @spider279 4 месяца назад

    Wa alaykoum salam, keep going man love this ML series

  • @usmonkulkhakimov7511
    @usmonkulkhakimov7511 4 месяца назад

    Ma shaa alloh

  • @fatimaemad2183
    @fatimaemad2183 5 месяцев назад

    wow, it's a masterpiece.. May Allah bless u.

  • @SumitYadav-o3b
    @SumitYadav-o3b 6 месяцев назад

    Thanks bro for making this, is it possible for you to share the notes as well..

  • @3agoskin
    @3agoskin 6 месяцев назад

    Thank you for this video! Very helpful!

  • @abdulrafey2492
    @abdulrafey2492 6 месяцев назад

    PLEASE REPLY Very good Video, Thank you for your effort. Make next video on how to stop spoofing so model should not detect faces on images or in videos but only real faces. I have another important question. Can I use Haar Cascade instead of MTCNN for face detection in PART 1? Will it reduce accuracy or have any disadvantages, despite potentially offering better speed than MTCNN? If accuracy will drop if I use Haar Cascade than tell me what should I do as I want to build real world robust face recognition attendance system application for schools, and I don't want to get complaints that software is either not detecting faces or its not recognizing students correctly. In my scenario camera will be on the top of the class's white board and should be able to detect all students of the class from above of the board, class lights may be dimmed or turned of if teacher is teaching using projector.

    • @sardorabdirayimov
      @sardorabdirayimov 6 месяцев назад

      Dear @abdulrafey, The Haar Cascade accuracy is lower than the MTCNN. Definetely, you can change from MTCNN to Haar Cascade. I believe there are more robust solutions in the github. Check out BlazeFace or Mediapipe library. Use data augmentation before training, or move the input images to normalized space. In fact, it is a bit challenging to make 1 to 10. I hope my response helped you. Have a good day!

  • @Сашамарлийн
    @Сашамарлийн 6 месяцев назад

    Рахмат укам, буларкану боболаримиз, адабиётимиз дурдона шерларини айтиб бериш, яна кутиб қоламиз, уша,, наматак,, деган шерни хам айтинг😊

  • @furkanfatihciftci6996
    @furkanfatihciftci6996 7 месяцев назад

    You're Legend

  • @MirzohamidulloHoshimov-cz3hk
    @MirzohamidulloHoshimov-cz3hk 7 месяцев назад

    Good explanation, but I'd suggest to record the audio with microphone or the phone separetely, to catch the voice clearly and loudly! Thank you for the material!

  • @kandachandushachandusha9740
    @kandachandushachandusha9740 7 месяцев назад

    can you please share the material..very nice session

    • @sardorabdirayimov
      @sardorabdirayimov 7 месяцев назад

      Here it is www.deeplearningbook.org For more check description.

  • @sandhyakorath5664
    @sandhyakorath5664 7 месяцев назад

    Love the videos would love to learn DL from you further

  • @sanjaratamuradov5982
    @sanjaratamuradov5982 7 месяцев назад

    Awesome!

  • @KoyiljonValiev
    @KoyiljonValiev 7 месяцев назад

    best of luck!

  • @AkaExcel
    @AkaExcel 7 месяцев назад

    Thank you for sharing, Best wishes!

  • @shadan2813
    @shadan2813 7 месяцев назад

    It would be nice if you structure the playlist.

    • @sardorabdirayimov
      @sardorabdirayimov 6 месяцев назад

      Thank you for your support. I have sorted out the playlist. Have a good day

  • @LolaAbdirayimova
    @LolaAbdirayimova 7 месяцев назад

    👍💯👍

  • @KoyiljonValiev
    @KoyiljonValiev 7 месяцев назад

    MashAlloh

  • @KoyiljonValiev
    @KoyiljonValiev 7 месяцев назад

    Biza

  • @samuelbenhur
    @samuelbenhur 7 месяцев назад

    Thank you for your video on face recognition with mtcnn, facenet and svm. It was really helpful for my Grad degree project.

  • @ЖанеркеАйткалиева-ь3щ
    @ЖанеркеАйткалиева-ь3щ 8 месяцев назад

    how to make a file in the format .npz

  • @arbuesenriqueperezvillegas5180
    @arbuesenriqueperezvillegas5180 8 месяцев назад

    why... WHY I didn't watch this video before, well I can only confirm that downloading from GitHub it's a real headache

  • @jlkun5918
    @jlkun5918 8 месяцев назад

    is MTCNN is a pre-trained dataset?

  • @ulugbekibragimov5783
    @ulugbekibragimov5783 8 месяцев назад

    ✨

  • @KoyiljonValiev
    @KoyiljonValiev 8 месяцев назад

    Good Job! Nice video

  • @danielfirmida
    @danielfirmida 8 месяцев назад

    Bro thanks for the content

  • @KoyiljonValiev
    @KoyiljonValiev 8 месяцев назад

    Amazing ! Keep going !

  • @KoreadanAmerikagacha
    @KoreadanAmerikagacha 8 месяцев назад

    Sizni zudlik bilan uylantirish kerak

  • @samandarovsarvar9818
    @samandarovsarvar9818 8 месяцев назад

    Zoʻr Sardor 😀💥💥💥

  • @KoyiljonValiev
    @KoyiljonValiev 8 месяцев назад

    Daejeonga keling. Manzi:Maya ... 😅

  • @KoyiljonValiev
    @KoyiljonValiev 8 месяцев назад

    Yasheng shoir😂

  • @dexterjeong
    @dexterjeong 9 месяцев назад

    Thank you for the great lecture. 👍

  • @syedhurairahhassan1944
    @syedhurairahhassan1944 9 месяцев назад

    Helpful video

  • @OybekValiyev-dp2sf
    @OybekValiyev-dp2sf 9 месяцев назад

    Juda zo'r ma'lumot oldim rahmat kattakon

  • @qorganbek_d
    @qorganbek_d 9 месяцев назад

    Salam from Kazakhstan bro

  • @Datascientistdarslari
    @Datascientistdarslari 9 месяцев назад

    bizadayam yaxshi kontentlar o'zbek tilida ko'payapti omad bro🥷🏼

  • @Ankushkumar-uk9wj
    @Ankushkumar-uk9wj 9 месяцев назад

    i am stuck.. please help? Q. how to lable an image an 'UNKNOWN' if the image is not in the dataset...? as model tries to predict the unknown and random image also? please reply