GANs and Diffusion Models in Machine Learning
GANs and Diffusion Models in Machine Learning
Duration: 2h 22m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 2.04 GB
Genre: eLearning | Language: English
Duration: 2h 22m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 2.04 GB
Genre: eLearning | Language: English
If you’re looking for a crash course in generative modeling, this course was made for you. Generative adversarial networks (GANs) and diffusion models are some of the most important components of machine learning infrastructure. Join instructor Janani Ravi to find out more about how to get started building GANs with both dense neural as well as deep convolutional networks. Javani shows you the basics of how to train a deep convolutional GAN on multichannel images. Along the way, she gives you tips on how to get up and running with GANs using TensorFlow and diffusion models using PyTorch.
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