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001 Javier introduces section 2 from his spacecraft.en.srt
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001 Javier introduces section 2 from his spacecraft.mp4
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001 Javier introduces section 3 from his spacecraft.en.srt
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001 Javier introduces section 3 from his spacecraft.mp4
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001 Javier introduces section 4 from his spacecraft.en.srt
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001 Javier introduces section 4 from his spacecraft.mp4
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001 The roadmap, from basic to advanced and beyond.en.srt
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001 The roadmap, from basic to advanced and beyond.mp4
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002 Challenges and issues of the basic GAN.en.srt
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002 Challenges and issues of the basic GAN.mp4
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002 Javier sends greetings from his spacecraft.en.srt
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002 Javier sends greetings from his spacecraft.mp4
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002 Multimodal generation, an incredible adventure.en.srt
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002 Multimodal generation, an incredible adventure.mp4
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002 Understanding the battle between generator and discriminator.en.srt
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002 Understanding the battle between generator and discriminator.mp4
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003 Coding_ importing the libraries.en.srt
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003 Coding_ importing the libraries.mp4
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003 The Wasserstein Loss.en.srt
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003 The Wasserstein Loss.mp4
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003 The generative revolution_ coming home.en.srt
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003 The generative revolution_ coming home.mp4
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003 Understanding Cross Entropy in depth.en.srt
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003 Understanding Cross Entropy in depth.mp4
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004 Coding_ helper functions and hyperparameters.en.srt
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004 Coding_ helper functions and hyperparameters.mp4
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004 The Gradient Penalty.en.srt
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004 The Gradient Penalty.mp4
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004 The present and future of A.I is generative.en.srt
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004 The present and future of A.I is generative.mp4
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004 Understanding the equation to calculate the discriminator loss.en.srt
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004 Understanding the equation to calculate the discriminator loss.mp4
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005 Applications of generative AI.en.srt
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005 Applications of generative AI.mp4
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005 Coding_ Setting up the CLIP model.en.srt
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005 Coding_ Setting up the CLIP model.mp4
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005 Coding_ setting up libraries and parameters.en.srt
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005 Coding_ setting up libraries and parameters.mp4
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005 Understanding the equation to calculate the generator loss.en.srt
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005 Understanding the equation to calculate the generator loss.mp4
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006 (Optional) Google Colab Tutorial.en.srt
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006 (Optional) Google Colab Tutorial.mp4
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006 Coding_ Login and setup of the Wandb stats library.en.srt
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006 Coding_ Login and setup of the Wandb stats library.mp4
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006 Coding_ Setting up the Generative transformer model.en.srt
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006 Coding_ Setting up the Generative transformer model.mp4
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006 Latent spaces and representation learning.en.srt
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006 Latent spaces and representation learning.mp4
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007 Coding_ Beginning the generator.en.srt
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007 Coding_ Beginning the generator.mp4
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007 Coding_ Setting up the latent space parameters to be optimized.en.srt
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007 Coding_ Setting up the latent space parameters to be optimized.mp4
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007 Coding_ importing libraries and declaring a visualization function.en.srt
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007 Coding_ importing libraries and declaring a visualization function.mp4
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007 Navigating latent spaces.en.srt
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007 Navigating latent spaces.mp4
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008 Coding_ Understanding convolutions.en.srt
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008 Coding_ Understanding convolutions.mp4
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008 Coding_ encode the text prompts through CLIP.en.srt
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008 Coding_ encode the text prompts through CLIP.mp4
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008 Coding_ hyperparameters and the DataLoader.en.srt
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008 Coding_ hyperparameters and the DataLoader.mp4
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008 GANS_ Generative Adversarial Networks.en.srt
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008 GANS_ Generative Adversarial Networks.mp4
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009 Benefits and possibilities of Generative A.I.en.srt
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009 Benefits and possibilities of Generative A.I.mp4
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009 Coding_ The generator class.en.srt
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009 Coding_ The generator class.mp4
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009 Coding_ creating crops from the generated image.en.srt
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009 Coding_ creating crops from the generated image.mp4
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009 Coding_ the generator class.en.srt
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009 Coding_ the generator class.mp4
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010 Coding_ The critic class.en.srt
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010 Coding_ The critic class.mp4
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010 Coding_ a function to display generated images and crops.en.srt
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010 Coding_ a function to display generated images and crops.mp4
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010 Coding_ the discriminator class.en.srt
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010 Coding_ the discriminator class.mp4
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010 Coming home_ generative A.I and human nature.en.srt
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010 Coming home_ generative A.I and human nature.mp4
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010 images-used-presentation-creative-commons.txt
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011 Coding_ Alternative way to initialize parameters (optional).en.srt
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011 Coding_ Alternative way to initialize parameters (optional).mp4
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011 Coding_ optimizing the latent space parameters.en.srt
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011 Coding_ optimizing the latent space parameters.mp4
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011 Coding_ the optimizer and testing the generator.en.srt
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011 Coding_ the optimizer and testing the generator.mp4
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011 Javier sings a song dedicated to generative A.I.en.srt
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011 Javier sings a song dedicated to generative A.I.mp4
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012 Coding_ Loading the CelebA dataset.en.srt
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012 Coding_ Loading the CelebA dataset.mp4
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012 Coding_ the loss values of generator and discriminator.en.srt
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012 Coding_ the loss values of generator and discriminator.mp4
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012 Coding_ the training loop.en.srt
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012 Coding_ the training loop.mp4
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013 Coding_ Declaring dataset, dataloader and optimizers.en.srt
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013 Coding_ Declaring dataset, dataloader and optimizers.mp4
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013 Coding_ main training loop, discriminator part.en.srt
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013 Coding_ main training loop, discriminator part.mp4
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013 Coding_ running the training.en.srt
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013 Coding_ running the training.mp4
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014 Coding_ interpolating between points in the latent space.en.srt
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014 Coding_ interpolating between points in the latent space.mp4
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014 Coding_ main training loop, generator and stats.en.srt
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014 Coding_ main training loop, generator and stats.mp4
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014 Coding_ the gradient penalty.en.srt
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014 Coding_ the gradient penalty.mp4
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015 Coding_ creating a video of the interpolations and general review.en.srt
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015 Coding_ creating a video of the interpolations and general review.mp4
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015 Coding_ running the training.en.srt
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015 Coding_ running the training.mp4
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015 Coding_ saving and loading checkpoints.en.srt
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015 Coding_ saving and loading checkpoints.mp4
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016 Coding_ creating variations of the code.en.srt
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016 Coding_ creating variations of the code.mp4
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016 Coding_ results and conclusions.en.srt
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016 Coding_ results and conclusions.mp4
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016 Coding_ training loop - critic training.en.srt
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016 Coding_ training loop - critic training.mp4
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017 Coding_ Davinci Sfumato_ Tweaking the code to create a new kind of texture.en.srt
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017 Coding_ Davinci Sfumato_ Tweaking the code to create a new kind of texture.mp4
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017 Coding_ training loop - generator training.en.srt
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017 Coding_ training loop - generator training.mp4
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018 Coding_ Davinci Sfumato_ reflecting about the process.en.srt
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018 Coding_ Davinci Sfumato_ reflecting about the process.mp4
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018 Coding_ stats and fixing issues.en.srt
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018 Coding_ stats and fixing issues.mp4
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019 Coding_ reviewing the code before running the training.en.srt
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019 Coding_ reviewing the code before running the training.mp4
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019 Final greetings from the spacecraft.en.srt
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019 Final greetings from the spacecraft.mp4
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020 Coding_ running the training.en.srt
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020 Coding_ running the training.mp4
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021 Coding_ results after a few epochs.en.srt
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021 Coding_ results after a few epochs.mp4
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022 Coding_ results after a few more epochs.en.srt
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022 Coding_ results after a few more epochs.mp4
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023 Coding_ results getting better and better.en.srt
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023 Coding_ results getting better and better.mp4
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024 Coding_ morphing between points in latent space.en.srt
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024 Coding_ morphing between points in latent space.mp4
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025 Coding_ more morphing.en.srt
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025 Coding_ more morphing.mp4
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027 Basic_GAN_Generative_A_I_course_by_Ideami.ipynb
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IPYNB
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8.5 KB
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052 Advanced_GAN_Generative_A_I_course_by_Ideami.ipynb
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IPYNB
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20.2 KB
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070 Multimodal_Generation_Generative_A_I_course_by_Ideami.ipynb
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IPYNB
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17.8 KB
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071 Advanced_GAN_Generative_A_I_course_by_Ideami.ipynb
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IPYNB
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20.2 KB
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071 Basic_GAN_Generative_A_I_course_by_Ideami.ipynb
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IPYNB
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8.5 KB
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071 Multimodal_Generation_Generative_A_I_course_by_Ideami.ipynb
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Bonus Resources.txt
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307.2 B
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Get Bonus Downloads Here.url
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external-assets-links.txt
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409.6 B
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![[ FreeCourseWeb ] Udemy - Generative A.I., from GANs to CLIP, with Python and Pytorch](/static/img/no-torrent-image.png "[ FreeCourseWeb ] Udemy - Generative A.I., from GANs to CLIP, with Python and Pytorch")
