Description
Build GANs and Diffusion Models with TensorFlow and PyTorch course. If you are looking for a crash course in generative modeling, this is the course for you. Generative adversarial networks (GANs) and propagation models are some of the most important components of the machine learning infrastructure. Join instructor Janani Ravi to learn more about how to get started building GANs with Dense Neural Networks as well as Deep Convolutional Networks. Javani shows you the basics of training a deep convolutional GAN on multi-channel images. Along the way, he’ll give you tips on how to get GANs up and running using TensorFlow and propagation models using PyTorch.
What you will learn in the Build GANs and Diffusion Models with TensorFlow and PyTorch course
- Introduction to GANs and diffusion models
- Overview of the architecture of a GAN
- Common problems of GANs
- Launch with Google Colab
- Loading the MNIST mode dataset
- Training adversarial network generator
- Image generation using GAN
- Deep convolutional GANs
- Greyscale images: training a deep convolutional GAN
- And …
Course details
- Publisher: LinkedIn
- teacher: Janani Ravi
- Training level: beginner to advanced
- Course time: 2 hours and 22 minutes
Course headings
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Sample video of the course
Installation guide
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English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.5 GB
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