What Are GANs? | Generative Adversarial Networks Tutorial | Deep Learning Tutorial | Simplilearn

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  • Опубликовано: 2 окт 2024

Комментарии • 27

  • @SimplilearnOfficial
    @SimplilearnOfficial  3 года назад +1

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  • @mudassarcomedytv4630
    @mudassarcomedytv4630 3 года назад +6

    Please make detail courses about game development,computer programing,coding i like your channel

    • @SimplilearnOfficial
      @SimplilearnOfficial  3 года назад

      Good suggestion. We will definitely share it with our team and look into it. Thanks.

  • @rajshreesrivastava7650
    @rajshreesrivastava7650 2 года назад +3

    how to add vgg-16 for classification and gan for data augmentation?

  • @sateeshb1735
    @sateeshb1735 Год назад +1

    Thanks

    • @SimplilearnOfficial
      @SimplilearnOfficial  Год назад

      We are glad that you have enjoyed your learning experience with us : )

  • @Priyanshu.poddar.2
    @Priyanshu.poddar.2 3 года назад +1

    Awesome content

  • @himabindu1503
    @himabindu1503 2 месяца назад

    simply amazing

  • @anitanbhatt
    @anitanbhatt 2 года назад +1

    Contents are not visible properly

    • @SimplilearnOfficial
      @SimplilearnOfficial  2 года назад

      Thank you for your review. We are sorry to hear you had such a frustrating experience, but we really appreciate you bringing this issue to our attention

  • @rameez5027
    @rameez5027 6 месяцев назад

    Very nice presentation

  • @rafailmahammadli2213
    @rafailmahammadli2213 3 года назад +2

    Hi, Can we generate images with 50 images for input?

    • @SimplilearnOfficial
      @SimplilearnOfficial  3 года назад

      Hi, Simplilearn provides online training across the world. We would be happy to help you regarding this. Please visit us at www.simplilearn.com and drop us a query and we will get back to you! Thanks!

    • @AZTECMAN
      @AZTECMAN 3 года назад

      In general, 50 images is not enough to train a GAN for anything useful.
      Popular datasets are 1000 times as large or more.
      For example:
      - The celebA dataset contains about 200,000 images.
      - MNIST dataset uses 60,000 images for training.
      However, there are many many unique papers written in the last few years... here are two you might find useful:
      "Training Generative Adversarial Networks with Limited Data"
      "Transferring GANs: generating images from limited data"

  • @draketracy6969
    @draketracy6969 3 года назад +1

    Thank you 🙏🏼

  • @felipesanz1300
    @felipesanz1300 2 года назад +10

    Understanding his accent is half the difficulty... This shouldn't be the case

    • @SimplilearnOfficial
      @SimplilearnOfficial  2 года назад +3

      Thank you for your review. We are sorry to hear you had such a frustrating experience, but we really appreciate you bringing this issue to our attention

  • @mohammedabubackersiddiqm3973
    @mohammedabubackersiddiqm3973 7 месяцев назад

    What an explanation , that's amazing and nailing 😱

  • @Priyanshu.poddar.2
    @Priyanshu.poddar.2 3 года назад +3

    1st cmnt give me the heart

    • @SimplilearnOfficial
      @SimplilearnOfficial  3 года назад

      Definitely!

    • @Priyanshu.poddar.2
      @Priyanshu.poddar.2 3 года назад +1

      Did u know usually I don't watch your full video I quit in between but I comments in every video to get a heart from you.😊😊😊

    • @RatanKumar-jy6si
      @RatanKumar-jy6si 3 года назад

      Priyanshu kumar
      You are like those people's who just enjoy getting virtual hearts and likes.

    • @RatanKumar-jy6si
      @RatanKumar-jy6si 3 года назад +1

      There is more than that in your life.

    • @Priyanshu.poddar.2
      @Priyanshu.poddar.2 3 года назад

      @@RatanKumar-jy6si aryan kumar tm yaha kaise