Course Content
Style transfers
Conditional Image synthesis
Super resolution
Deep Dream
Progressive GANS
Image Generation
Image2Image transfers
teaching machines – paint
0/8
CycleGAN
00:00
Creating a CycleGAN to Paint
00:00
Neural Style Transfer
00:00
Content Loss
00:00
Style Loss
00:00
Total Variance Loss
00:00
Running the Neural Style Transfer
00:00
Analysis of the Neural Style Transfer Model
00:00
teaching machines – Write
0/6
Long Short-Term Memory Networks
00:00
First LSTM Network
00:00
Generating New Text
00:00
RNN Extensions
00:00
Encoder–Decoder Models
00:00
Question and Answer Generator
00:00
Application of Gen AI – Image Synthesis
About Lesson

Creating a CycleGAN to Paint

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