Generative Adversarial Networks (GAN) using keras in python || GAN implementation in python

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  • Опубліковано 1 гру 2024

КОМЕНТАРІ • 13

  • @namratadey9651
    @namratadey9651 3 роки тому +2

    Thanks for explaining GAN in detail.Looking for more videos related to this topic.

    • @RanjanSharma
      @RanjanSharma  3 роки тому

      Keep watching :) Thanks :) Keep Exploring :)

  • @KumarPrakash-ty7dp
    @KumarPrakash-ty7dp 9 місяців тому +1

    Hello Sir Pls Plaese I Honestly Request you Upload GenAI Practically Video

  • @ArshadAli-zu5de
    @ArshadAli-zu5de 3 роки тому +2

    This was very informative and educational.
    I am doing my univerisity project and i am looking to perform GANs on an orignal transactional (financial) data to generate Synthetic data in tables.
    Can you please give an idea or help me on this. Thanks

  • @SwarnaliMollickA
    @SwarnaliMollickA 2 роки тому

    How to use this GAN model in CNN multiclass image Classification? I want to generate images using GAN and use these images in the CNN model. Please reply.🙏

  • @HardikKher-zm4iq
    @HardikKher-zm4iq Рік тому

    hello ranjan i have system of 32 gb ram in ec2(aws) and i want to process 80 gb of data and find some insight of it i have no issue of time i just do not want to upgrade hardware to save cost. is there any approch that i can work with such a big file ?

  • @realstuff1250
    @realstuff1250 2 роки тому +1

    Sir, can you provide GAN python code for CSV files to balance the dataset. Thanks in advance.

  • @jayamanis3553
    @jayamanis3553 3 роки тому

    Thanks for the video : Im not getting the plot g_losses,d_losses and also the final step to display the image also gives error no such file / folder not found in a path

  • @sumanpattnaik4597
    @sumanpattnaik4597 Рік тому

    how to plot the ROC curve

  • @SanjaySingh-qf4tk
    @SanjaySingh-qf4tk 3 роки тому

    bro i want to know how to make speech enhancement GANs pls help

  • @surbhikumari6734
    @surbhikumari6734 3 роки тому

    Why i m getting image of same number

  • @hrudaytej2133
    @hrudaytej2133 3 роки тому

    Why did you keep discriminator.trainable = false

    • @mramzanshahidkhan3917
      @mramzanshahidkhan3917 3 роки тому

      It is due to training the generator at that time. At one time, we can train one either generator or discriminator. Secondly, the Discriminator is trained firstly on fake and real data. Then Generator is trained to generate fake images which are fed in trained discriminator to identify real or fake.