Introduction
Welcome
General Introduction
Course Structure
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Deep Learning for Image Generation
Learn the basics of Generative Adversarial Neural Networks. Dive deep into building GANs and Diffusion Models with TensorFlow 2. Master how to generate high quality images with modern GANs and Diffusion models. Going from beginner to solving real world problems efficiently!
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This Course Includes
Practice based lessons
More than 50 lessons amounting to more than 15 hours + of video
Access to exclusive Neuralearn community
Full Lifetime access to all courses and resources
Access on mobile and TVPrerequiscites
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Learning Path
Variational Autoencoders
Understanding VAEs
Digits Generation with VAEs
DCGANs
How GANs work
The GAN loss
Improving GAN training
Face Generation with GANs
Face Generation with GANs
Understanding WGANs
Data Visualization
How and Why Convolutional Neural Networks Work
How and Why Convolutional Neural Networks Work
Understanding ProGANs
ProGANs in practice
Image super resolution with SRGan
Understanding SRGANs
SRGan in practice
Face mask removal with CycleGAN
Understanding Cyclegans
Cyclegans in Practice
Diffusion Models
Understanding Diffusion Models
Building the Unet Model
Timestep embeddings
Understanding Attention
Training
Sampling
Learning Never Ends!!!
This Course Will Constantly be Updated
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