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Diffusion Neural Network Artistry: Generating Images
Mammoth Interactive Courses Introduction
Preface
00 About Mammoth Interactive (1:12)
01 How To Learn Online Effectively (13:46)
Source Files
Reshape image data for NN
Reshape image data with Python (4:48)
Load flower image dataset in Colab (4:34)
Preprocess image data with Python (3:08)
Source Files
Calculate Kernel Inception Distance
Calculate Kernel Inception Distance in Python (6:34)
Update Kernel State with Keras (8:49)
Source Files
Build downsampling and upsampling with Keras
Build residual block with Python (3:24)
Build down and up blocks with Keras (3:29)
Source files
Build a CNN with Keras
Build sinusoidal embedding with TensorFlow (3:35)
Build a CNN for image generation (5:30)
CNN Source Files
Build a diffusion model for image generation
Build a diffusion model for image generation (4:02)
Denoise images in Python (2:09)
Build a diffusion schedule with TensorFlow (3:00)
Build reverse diffusion algorithm (4:45)
Diffusion Source Files
Generate images with diffusion
Generate images with diffusion (3:07)
Build training step for model (7:49)
Build Keras model test step (3:58)
Source Files
Train and visualize image generation model
Run model training for diffusion image generation (5:51)
Visualize image generation results (4:59)
Source files
Calculate Kernel Inception Distance in Python
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