[ FreeCourseWeb ] Udemy - Generative A.I., from GANs to CLIP, with Python and Pytorch

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 01 The generative revolution
• 001 The roadmap, from basic to advanced and beyond.en.srt (2.5 KB)
• 001 The roadmap, from basic to advanced and beyond.mp4 (9.8 MB)
• 002 Javier sends greetings from his spacecraft.en.srt (1.7 KB)
• 002 Javier sends greetings from his spacecraft.mp4 (28.3 MB)
• 003 The generative revolution_ coming home.en.srt (6.5 KB)
• 003 The generative revolution_ coming home.mp4 (56.0 MB)
• 004 The present and future of A.I is generative.en.srt (8.7 KB)
• 004 The present and future of A.I is generative.mp4 (60.8 MB)
• 005 Applications of generative AI.en.srt (5.5 KB)
• 005 Applications of generative AI.mp4 (45.1 MB)
• 006 Latent spaces and representation learning.en.srt (12.3 KB)
• 006 Latent spaces and representation learning.mp4 (84.8 MB)
• 007 Navigating latent spaces.en.srt (12.4 KB)
• 007 Navigating latent spaces.mp4 (106.5 MB)
• 008 GANS_ Generative Adversarial Networks.en.srt (8.9 KB)
• 008 GANS_ Generative Adversarial Networks.mp4 (64.2 MB)
• 009 Benefits and possibilities of Generative A.I.en.srt (7.6 KB)
• 009 Benefits and possibilities of Generative A.I.mp4 (64.7 MB)
• 010 Coming home_ generative A.I and human nature.en.srt (5.6 KB)
• 010 Coming home_ generative A.I and human nature.mp4 (41.7 MB)
• 010 images-used-presentation-creative-commons.txt (0.8 KB)
• 011 Javier sings a song dedicated to generative A.I.en.srt (1.2 KB)
• 011 Javier sings a song dedicated to generative A.I.mp4 (40.2 MB)
• external-assets-links.txt (0.1 KB)
02 Coding a basic generative architecture
• 001 Javier introduces section 2 from his spacecraft.en.srt (0.7 KB)
• 001 Javier introduces section 2 from his spacecraft.mp4 (10.3 MB)
• 002 Understanding the battle between generator and discriminator.en.srt (12.0 KB)
• 002 Understanding the battle between generator and discriminator.mp4 (48.4 MB)
• 003 Understanding Cross Entropy in depth.en.srt (14.8 KB)
• 003 Understanding Cross Entropy in depth.mp4 (95.7 MB)
• 004 Understanding the equation to calculate the discriminator loss.en.srt (8.3 KB)
• 004 Understanding the equation to calculate the discriminator loss.mp4 (26.6 MB)
• 005 Understanding the equation to calculate the generator loss.en.srt (4.2 KB)
• 005 Understanding the equation to calculate the generator loss.mp4 (12.4 MB)
• 006 (Optional) Google Colab Tutorial.en.srt (16.8 KB)
• 006 (Optional) Google Colab Tutorial.mp4 (47.9 MB)
• 007 Coding_ importing libraries and declaring a visualization function.en.srt (19.8 KB)
• 007 Coding_ importing libraries and declaring a visualization function.mp4 (56.3 MB)
• 008 Coding_ hyperparameters and the DataLoader.en.srt (13.5 KB)
• 008 Coding_ hyperparameters and the DataLoader.mp4 (45.0 MB)
• 009 Coding_ the generator class.en.srt (10.6 KB)
• 009 Coding_ the generator class.mp4 (51.8 MB)
• 010 Coding_ the discriminator class.en.srt (8.6 KB)
• 010 Coding_ the discriminator class.mp4 (38.1 MB)
• 011 Coding_ the optimizer and testing the generator.en.srt (10.2 KB)
• 011 Coding_ the optimizer and testing the generator.mp4 (37.4 MB)
• 012 Coding_ the loss values of generator and discriminator.en.srt (11.1 KB)
• 012 Coding_ the loss values of generator and discriminator.mp4 (42.4 MB)
• 013 Coding_ main training loop, discriminator part.en.srt (7.6 KB)
• 013 Coding_ main training loop, discriminator part.mp4 (22.7 MB)
• 014 Coding_ main training loop, generator and stats.en.srt (8.9 KB)
• 014 Coding_ main training loop, generator and stats.mp4 (38.8 MB)
• 015 Coding_ running the training.en.srt (2.3 KB)
• 015 Coding_ running the training.mp4 (6.8 MB)
• 016 Coding_ results and conclusions.en.srt (1.6 KB)
• 016 Coding_ results and conclusions.mp4 (4.9 MB)
• 027 Basic_GAN_Generative_A_I_course_by_Ideami.ipynb (8.5 KB)
03 Coding an advanced generative architecture
• 001 Javier introduces section 3 from his spacecraft.en.srt (1.3 KB)
• 001 Javier introduces section 3 from his spacecraft.mp4 (20.4 MB)
• 002 Challenges and issues of the basic GAN.en.srt (8.8 KB)
• 002 Challenges and issues of the basic GAN.mp4 (29.0 MB)
• 003 The Wasserstein Loss.en.srt (10.5 KB)
• 003 The Wasserstein Loss.mp4 (32.3 MB)
• 004 The Gradient Penalty.en.srt (7.6 KB)
• 004 The Gradient Penalty.mp4 (30.0 MB)
• 005 Coding_ setting up libraries and parameters.en.srt (19.8 KB)
• 005 Coding_ setting up libraries and parameters.mp4 (50.7 MB)
• 006 Coding_ Login and setup of the Wandb stats library.en.srt (6.7 KB)
• 006 Coding_ Login and setup of the Wandb stats library.mp4 (23.6 MB)
• 007 Coding_ Beginning the generator.en.srt (6.9 KB)
• 007 Coding_ Beginning the generator.mp4 (20.7 MB)
• 008 Coding_ Understanding convolutions.en.srt (19.7 KB)
• 008 Coding_ Understanding convolutions.mp4 (104.4 MB)
• 009 Coding_ The generator class.en.srt (21.7 KB)
• 009 Coding_ The generator class.mp4 (83.4 MB)
• 010 Coding_ The critic class.en.srt (17.6 KB)
• 010 Coding_ The critic class.mp4 (53.7 MB)
• 011 Coding_ Alternative way to initialize parameters (optional).en.srt (4.6 KB)
• 011 Coding_ Alternative way to initialize parameters (optional).mp4 (14.7 MB)
• 012 Coding_ Loading the CelebA dataset.en.srt (10.2 KB)
• 012 Coding_ Loading the CelebA dataset.mp4 (39.9 MB)
• 013 Coding_ Declaring dataset, dataloader and optimizers.en.srt (24.9 KB)
• 013 Coding_ Declaring dataset, dataloader and optimizers.mp4 (85.1 MB)
• 014 Coding_ the gradient penalty.en.srt (10.6 KB)
• 014 Coding_ the gradient penalty.mp4 (30.9 MB)
• 015 Coding_ saving and loading checkpoints.en.srt (9.7 KB)
• 015 Coding_ saving and loading checkpoints.mp4 (36.0 MB)
• 016 Coding_ training loop - critic training.en.srt (7.8 KB)
• 016 Coding_ training loop - critic training.mp4 (23.6 MB)
• 017 Coding_ training loop - generator training.en.srt (2.2 KB)
• 017 Coding_ training loop - generator training.mp4 (6.5 MB)
• 018 Coding_ stats and fixing issues.en.srt (13.6 KB)
• 018 Coding_ stats and fixing