01 - Overview of generative models.mp4 (21.21 MB)
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02 - Applications of generative models.mp4 (23.79 MB)
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01 - Introducing GANs and diffusion models.mp4 (20.73 MB)
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02 - Generator and discriminator.mp4 (31.65 MB)
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03 - Architectural overview of a GAN.mp4 (9.49 MB)
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04 - Training the generator and discriminator.mp4 (27.66 MB)
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05 - Common problems with GANs.mp4 (30.15 MB)
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01 - Getting set up with Google Colab.mp4 (41.77 MB)
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02 - Loading the fashion MNIST data set.mp4 (54.07 MB)
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03 - The generator network.mp4 (42.98 MB)
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04 - The discriminator network.mp4 (42.14 MB)
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05 - Adversary loss functions.mp4 (50.76 MB)
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06 - Training the generative adversarial network.mp4 (83.34 MB)
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07 - Generating images using the GAN.mp4 (55.8 MB)
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01 - Overview of CNNs.mp4 (22.4 MB)
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02 - Transposed convolutional layer.mp4 (23.61 MB)
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03 - Deep Convolutional GANs.mp4 (32.27 MB)
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04 - Greyscale images Generator and discriminator in a Deep Convolutional GAN.mp4 (87.62 MB)
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05 - Greyscale images Training a Deep Convolutional GAN.mp4 (89.4 MB)
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01 - Color images Loading multichannel image data.mp4 (84.49 MB)
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02 - Color images Generator and discriminator in a Deep Convolutional GAN.mp4 (77.6 MB)
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03 - Color images Training a Deep Convolutional GAN.mp4 (44.73 MB)
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01 - Generative learning trilemma.mp4 (26.77 MB)
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02 - Introducing denoising diffusion probabilistic models.mp4 (18.69 MB)
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03 - How do denoising diffusion probabilistic models work.mp4 (39.96 MB)
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04 - Forward diffusion process.mp4 (25.96 MB)
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05 - Reverse diffusion process.mp4 (14.08 MB)
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06 - Training a diffusion model Intuition.mp4 (45.02 MB)
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01 - Denoising diffusion probabilistic models Exploring implementation on GitHub.mp4 (35.83 MB)
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02 - Denoising diffusion probabilistic models Code overview.mp4 (65.18 MB)
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03 - Denoising diffusion probabilistic models Code tweaks.mp4 (31.72 MB)
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04 - Denoising diffusion probabilistic models Generating images.mp4 (78.15 MB)
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01 - Summary and next steps.mp4 (11.5 MB)
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Ex Files GANs and Diffusion Models in ML.zip (402.19 MB)
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