- 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

Course website: http://bit.ly/DLSP21-web
Playlist: http://bit.ly/DLSP21-YouTube
Speaker: Alfredo Canziani

Chapters
00:00 – 1st of April 2021
03:24 – Training an autoencoder (AE) (PyTorch and Notebook)
11:34 – Looking at an AE kernels
15:41 – Denoising autoencoder (recap)
17:33 – Training a denoi...
Course website: http://bit.ly/DLSP21-web
Playlist: http://bit.ly/DLSP21-YouTube
Speaker: Alfredo Canziani

Chapters
00:00 – 1st of April 2021
03:24 – Training an autoencoder (AE) (PyTorch and Notebook)
11:34 – Looking at an AE kernels
15:41 – Denoising autoencoder (recap)
17:33 – Training a denoising autoencoder (DAE) (PyTorch and Notebook)
20:59 – Looking at a DAE kernels
22:57 – Comparison with state of the art inpainting techniques
24:34 – AE as an EBM
26:23 – Training a variational autoencoder (VAE) (PyTorch and Notebook)
36:24 – A VAE as a generative model
37:30 – Interpolation in input and latent space
39:02 – A VAE as an EBM
39:23 – VAE embeddings distribution during training
42:58 – Generative adversarial networks (GANs) vs. DAE
45:43 – Generative adversarial networks (GANs) vs. VAE
47:11 – Training a GAN, the cost network
50:08 – Training a GAN, the generating network
51:34 – A possible cost network's architecture
54:33 – The Italian vs. Swiss analogy for GANs
59:13 – Training a GAN (PyTorch code reading)
1:06:09 – That was it :D

#PyTorch #NYU #Yann LeCun #Deep Learning #neural networks
– 1st of April 2021 - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– 1st of April 2021

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:00:00 - 00:03:24
– Training an autoencoder (AE) (PyTorch and Notebook) - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Training an autoencoder (AE) (PyTorch and Notebook)

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:03:24 - 00:11:34
– Looking at an AE kernels - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Looking at an AE kernels

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:11:34 - 00:15:41
– Denoising autoencoder (recap) - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Denoising autoencoder (recap)

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:15:41 - 00:17:33
– Training a denoising autoencoder (DAE) (PyTorch and Notebook) - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Training a denoising autoencoder (DAE) (PyTorch and Notebook)

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:17:33 - 00:20:59
– Looking at a DAE kernels - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Looking at a DAE kernels

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:20:59 - 00:22:57
– Comparison with state of the art inpainting techniques - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Comparison with state of the art inpainting techniques

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:22:57 - 00:24:34
– AE as an EBM - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– AE as an EBM

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:24:34 - 00:26:23
– Training a variational autoencoder (VAE) (PyTorch and Notebook) - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Training a variational autoencoder (VAE) (PyTorch and Notebook)

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:26:23 - 00:36:24
– A VAE as a generative model - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– A VAE as a generative model

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:36:24 - 00:37:30
– Interpolation in input and latent space - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Interpolation in input and latent space

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:37:30 - 00:39:02
– A VAE as an EBM - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– A VAE as an EBM

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:39:02 - 00:39:23
– VAE embeddings distribution during training - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– VAE embeddings distribution during training

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:39:23 - 00:42:58
– Generative adversarial networks (GANs) vs. DAE - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Generative adversarial networks (GANs) vs. DAE

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:42:58 - 00:45:43
– Generative adversarial networks (GANs) vs. VAE - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Generative adversarial networks (GANs) vs. VAE

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:45:43 - 00:47:11
– Training a GAN, the cost network - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Training a GAN, the cost network

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:47:11 - 00:50:08
Like your visualization at - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

Like your visualization at

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:50:04 - 01:07:51
– Training a GAN, the generating network - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Training a GAN, the generating network

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:50:08 - 00:51:34
– A possible cost network's architecture - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– A possible cost network's architecture

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:51:34 - 00:54:33
– The Italian vs. Swiss analogy for GANs - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– The Italian vs. Swiss analogy for GANs

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:54:33 - 00:59:13
– Training a GAN (PyTorch code reading) - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– Training a GAN (PyTorch code reading)

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
00:59:13 - 01:06:09
– That was it :D - 09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code

– That was it :D

09 – AE, DAE, and VAE with PyTorch; generative adversarial networks (GAN) and code
2021年05月20日 
01:06:09 - 01:07:51

Alfredo Canziani

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Timetable

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