Udemy - Generative Adversarial Network (GAN) from scratch PyTorch

Files:

• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1. Conditional GAN From Scratch with PyTorch
• 1. Conditional GAN Introduction - from Scratch with PyTorch.mp4 (4.8 MB)
• 1. Conditional GAN Introduction - from Scratch with PyTorch.srt (0.9 KB)
• 2. Full Implementation - Conditional GAN From Scratch with PyTorch.mp4 (311.2 MB)
• 2. Full Implementation - Conditional GAN From Scratch with PyTorch.srt (57.7 KB)
• 2.1 conditional_gan.py (2.6 KB)
• 2.2 Only_Tranining_Final_CGAN.ipynb (13.6 KB)
• 2.3 train.py (8.8 KB)
• 2.4 utils.py (2.7 KB)
2. BiCycleGAN from Scratch with PyTorch
• 1. Introduction BiCycleGAN from Scratch with PyTorch.mp4 (3.8 MB)
• 1. Introduction BiCycleGAN from Scratch with PyTorch.srt (0.2 KB)
• 2. Full Implementation - BiCycleGAN from Scratch with PyTorch.mp4 (456.3 MB)
• 2. Full Implementation - BiCycleGAN from Scratch with PyTorch.srt (68.1 KB)
• 2.1 BiCycleGAN_Toward_Multimodal_Image-to-Image_Translation.ipynb (42.1 KB)
3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset
• 1. 1-Introduction DCGAN with TensorFlow.mp4 (25.8 MB)
• 1. 1-Introduction DCGAN with TensorFlow.srt (3.4 KB)
• 2. 2-Full Implementations - DCGAN from Scratch With TensforFlow CelebA_Dataset.mp4 (469.7 MB)
• 2. 2-Full Implementations - DCGAN from Scratch With TensforFlow CelebA_Dataset.srt (78.1 KB)
• 2.1 DCGAN_with_Tensorflow_Keras_Celeb_A_Dataset.ipynb (173.1 KB)
• 3. 3 Conv2dTranspose Explanations for DCGAN's Generator Function Filter-Kernel_Size.mp4 (266.0 MB)
• 3. 3 Conv2dTranspose Explanations for DCGAN's Generator Function Filter-Kernel_Size.srt (47.3 KB)
• 3.1 DCGAN_Generator_Function_Understanding_Filter_Size_and_Input_Shape.ipynb (49.9 KB)
4. DCGAN From Scratch with PyTorch
• 1. DCGAN From Scratch with PyTorch.mp4 (320.3 MB)
• 1. DCGAN From Scratch with PyTorch.srt (66.2 KB)
• 1.1 DCGAN_ONLY_train.ipynb (1.3 KB)
• 1.2 dcgan.py (4.4 KB)
• 1.3 train.py (6.2 KB)
• 1.4 utils.py (1.7 KB)
5. CycleGAN Paper Architecture Explanations
• 1. CycleGAN Paper Architecture Explanations.mp4 (294.8 MB)
• 1. CycleGAN Paper Architecture Explanations.srt (39.3 KB)
6. CycleGAN from Scratch with PyTorch
• 1. CycleGAN from Scratch with PyTorch.mp4 (796.7 MB)
• 1. CycleGAN from Scratch with PyTorch.srt (134.1 KB)
• 1.1 CycleGAN_From_Scratch_PyTorch_FINAL_Entire_NB.ipynb (1.9 MB)
• 1.2 cyclegan.py (4.9 KB)
• 1.3 Final_Training_Only.ipynb (0.9 KB)
• 1.4 train.py (14.9 KB)
• 1.5 utils.py (5.5 KB)
7. WGAN Architecture Paper Explanation
• 1. WGAN Architecture Paper Explanation.mp4 (117.4 MB)
• 1. WGAN Architecture Paper Explanation.srt (34.0 KB)
8. WGAN Without Gradient Penalty from Scratch with PyTorch
• 1. WGAN Without Gradient Penalty from Scratch with PyTorch.mp4 (238.6 MB)
• 1. WGAN Without Gradient Penalty from Scratch with PyTorch.srt (43.9 KB)
• 1.1 Final_Training_Only.ipynb (0.6 KB)
• 1.2 train.py (5.6 KB)
• 1.3 utils.py (1.0 KB)
• 1.4 WGAN_Pytorch_From_Scratch_Full_Notebook.ipynb (32.3 KB)
• 1.5 wgan.py (2.3 KB)
9. WGAN with Gradient_Penalty from Scratch with PyTorch
• 1. Introduction WGAN with Gradient_Penalty from Scratch with PyTorch.mp4 (10.2 MB)
• 1. Introduction WGAN with Gradient_Penalty from Scratch with PyTorch.srt (0.6 KB)
• 2. Full Implementation WGAN with Gradient_Penalty from Scratch with PyTorch.mp4 (529.3 MB)
• 2. Full Implementation WGAN with Gradient_Penalty from Scratch with PyTorch.srt (100.9 KB)
• 2.1 Only_Tranining_Final.ipynb (3.6 KB)
• 2.3 train.py (8.1 KB)
• 2.4 utils.py (4.1 KB)
• 2.5 wgan_gp.py (3.3 KB)
SOURCE-CODE-ALL-FILES
• BiCycleGAN_Toward_Multimodal_Image-to-Image_Translation.ipynb (42.1 KB)
CODE-Conditional GAN From Scratch with PyTorch
• Only_Tranining_Final_CGAN.ipynb (3.6 KB)
• conditional_gan.py (2.6 KB)
• train.py (8.8 KB)
• utils.py (2.7 KB)
CODE-DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset
• DCGAN_Generator_Function_Understanding_Filter_Size_and_Input_Shape.ipynb (49.9 KB)
• DCGAN_with_Tensorflow_Keras_Celeb_A_Dataset.ipynb (173.1 KB)
CODE-DCGAN-from-Scratch-with-PyTorch
• DCGAN_ONLY_train.ipynb (1.3 KB)
• dcgan.py (4.4 KB)
• train.py (6.2 KB)
• utils.py (1.7 KB)
CODE-WGAN_with_Gradient_Penalty_from_Scratch_PyTorch
• Only_Tranining_Final.ipynb (3.6 KB)
• train.py (8.1 KB)
• utils.py (4.1 KB)
• wgan_gp.py (3.3 KB)
CODE_CycleGAN_From_Scratch_PyTorch
• CycleGAN_From_Scratch_PyTorch_FINAL_Entire_NB.ipynb (1.9 MB)
• Final_Training_Only.ipynb (0.9 KB)
• cyclegan.py (4.9 KB)
• train.py (14.9 KB)
• utils.py (5.5 KB)
WGAN_WITHOUT_Gradient_Penalty_from_Scratch_PyTorch
• Final_Training_Only.ipynb (0.6 KB)
• WGAN_Pytorch_From_Scratch_Full_Notebook.ipynb (32.3 KB)
• train.py (5.6 KB)
• utils.py (1.0 KB)
• wgan.py (2.3 KB)
• Bonus Resources.txt (0.4 KB)