Skip to content

[ DevCourseWeb Com ] Udemy - Introduction to Generative Adversarial Networks with PyTorch

Unverified source. This magnet is from an unverified source. The content may be unsafe or mislabeled. Proceed with caution.
Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
44FC39CA00FD57506C443F04AAA16A3D6A8F8645
Source
Unverified
Total Size
2.35 GB
Total Files
100
Seeders
1
Leechers
0
Health
1.00
Score
2
Type
Bookware

File List

FileSize
Get Bonus Downloads Here.url182 B
~Get Your Files Here !/1. Course Agenda/1. Course Agenda.mp491.51 MB
~Get Your Files Here !/1. Course Agenda/1. Course Agenda.srt9.04 KB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/1. Notebook Versioning Notice.html1.12 KB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/2. PyTorch Forward and Backward Propagation.mp476.47 MB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/2. PyTorch Forward and Backward Propagation.srt14.63 KB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/2.1 Course Discussions Channel on Slack.html83 B
~Get Your Files Here !/2. Introduction to PyTorch for GANs/2.3 Slack Channel Inactive.html127 B
~Get Your Files Here !/2. Introduction to PyTorch for GANs/3. PyTorch Forward and Backward Propagation.html215 B
~Get Your Files Here !/2. Introduction to PyTorch for GANs/4. PyTorch Autograd Mechanism.mp430.97 MB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/4. PyTorch Autograd Mechanism.srt9.12 KB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/4.1 Revised source code for section 1.html146 B
~Get Your Files Here !/2. Introduction to PyTorch for GANs/5. PyTorch Autograd Mechanism.html215 B
~Get Your Files Here !/2. Introduction to PyTorch for GANs/6. PyTorch Custom Loss Function.mp489.55 MB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/6. PyTorch Custom Loss Function.srt19.48 KB
~Get Your Files Here !/2. Introduction to PyTorch for GANs/6.1 Code Errata.html127 B
~Get Your Files Here !/2. Introduction to PyTorch for GANs/6.2 Reading Assignment On Loss Functions for Deep Neural Networks in Classification Katarzyna Janocha, Wojciech Marian Czarnecki.html93 B
~Get Your Files Here !/2. Introduction to PyTorch for GANs/7. PyTorch Custom Loss Function.html215 B
~Get Your Files Here !/2. Introduction to PyTorch for GANs/Section 1.ipynb39.57 KB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/1. Introduction to GANs.mp426.59 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/1. Introduction to GANs.srt5.82 KB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/10. [Coding Exercise] GAN Evaluation Metrics FID Score.mp4120.58 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/10. [Coding Exercise] GAN Evaluation Metrics FID Score.srt19.93 KB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/11. GAN Evaluation Metrics.html215 B
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/2. Introduction to GANs.html215 B
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/3. Working of GAN Loss Function.mp48.67 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/3. Working of GAN Loss Function.srt7.34 KB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/4. Working of GAN Loss Function.html215 B
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/5. Implementing GAN Training Methodology.mp463.86 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/5. Implementing GAN Training Methodology.srt10.1 KB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/6. Implementing GAN Training Methodology.html215 B
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/7. Implement Vanilla GAN on MNIST Dataset to Generate Digits.mp4123.2 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/7. Implement Vanilla GAN on MNIST Dataset to Generate Digits.srt22.17 KB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/8. Implement Vanilla GAN on MNIST Dataset to Generate Digits.html215 B
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/9. [Coding Exercise] GAN Evaluation Metrics Inception Score.mp4127.93 MB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/9. [Coding Exercise] GAN Evaluation Metrics Inception Score.srt20.32 KB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/Section 2 - Exercise.ipynb24.42 KB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/Section 2.ipynb27.56 KB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/[Coding_Exercise]_GAN_Evaluation_Metrics_FID_Score.ipynb65.94 KB
~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/[Coding_Exercise]_GAN_Evaluation_Metrics_Inception_Score.ipynb37.61 KB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/1. Introduction to Conditional GANs.mp413.67 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/1. Introduction to Conditional GANs.srt6.46 KB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/10. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.html215 B
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/2. Introduction to Conditional GANs.html215 B
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/3. Implement Conditional GAN on MNIST Dataset.mp4258.6 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/3. Implement Conditional GAN on MNIST Dataset.srt36.13 KB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/4. Implement Conditional GAN on MNIST Dataset.html215 B
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/5. Working of Wasserstein Loss Function.mp430.69 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/5. Working of Wasserstein Loss Function.srt12.23 KB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/6. Working of Wasserstein Loss Function.html215 B
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/7. Implement Wasserstein Loss Function.mp4223.05 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/7. Implement Wasserstein Loss Function.srt39.09 KB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/8. Implement Wasserstein Loss Function.html215 B
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/9. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.mp497.88 MB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/9. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.srt21.53 KB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Bonus - Learning Rate Decay.ipynb30.74 KB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Lecture 2 - FashionMNIST Excercise.ipynb108.24 KB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Lecture 2.ipynb93.36 KB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Lecture 4.ipynb45.04 KB
~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section_3_Lecture_5_GP_WGAN.ipynb89.92 KB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/1. Introduction to DC-GANs.mp433.85 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/1. Introduction to DC-GANs.srt10.01 KB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/2. Introduction to DC-GANs.html215 B
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/3. Implement DC-GAN on UC Birds Dataset.mp4151.78 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/3. Implement DC-GAN on UC Birds Dataset.srt16.87 KB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/4. Implement DC-GAN on UC Birds Dataset.html215 B
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/5. Working of Multi-way Loss Function.mp425.48 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/5. Working of Multi-way Loss Function.srt9.99 KB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/6. Working of Multi-way Loss Function.html215 B
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/7. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.mp4119.92 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/7. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.srt14.04 KB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/8. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.html215 B
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/Section 4 - Lecture 2.ipynb3.1 MB
~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/Section 4 - Lecture 4.ipynb403.31 KB
~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/1. Introduction to Progressive GANs.mp412.05 MB
~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/1. Introduction to Progressive GANs.srt8.96 KB
~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/2. Introduction to Progressive GANs.html215 B
~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/3. Implement Progressive GANs on Celebs Dataset.mp4308.08 MB
~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/3. Implement Progressive GANs on Celebs Dataset.srt38.3 KB
~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/4. Implement Progressive GANs on Celebs Dataset.html215 B
~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/5. Hints, Tips, and Tricks for GAN Training.mp48.32 MB
~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/5. Hints, Tips, and Tricks for GAN Training.srt5.78 KB
~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/6. Hints, Tips, and Tricks for GAN Training.html215 B
~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/Section 5 - Lecture 2.ipynb4.58 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/1. Introduction to U-NET Architecture.mp428.29 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/1. Introduction to U-NET Architecture.srt9.7 KB
~Get Your Files Here !/7. Generate Videos from Other Videos/10. Working of Vid2Vid GAN.html215 B
~Get Your Files Here !/7. Generate Videos from Other Videos/11. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.mp441.93 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/11. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.srt5.49 KB
~Get Your Files Here !/7. Generate Videos from Other Videos/12. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.html215 B
~Get Your Files Here !/7. Generate Videos from Other Videos/13. Conclusion, Next Steps, and Future Directions.mp48.95 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/13. Conclusion, Next Steps, and Future Directions.srt3.45 KB
~Get Your Files Here !/7. Generate Videos from Other Videos/14. Conclusion, Next Steps, and Future Directions.html215 B
~Get Your Files Here !/7. Generate Videos from Other Videos/2. Introduction to U-NET Architecture.html215 B
~Get Your Files Here !/7. Generate Videos from Other Videos/3. Working of Pix2Pix GAN and CycleGAN.mp467.02 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/3. Working of Pix2Pix GAN and CycleGAN.srt13.55 KB
~Get Your Files Here !/7. Generate Videos from Other Videos/4. Working of Pix2Pix GAN and CycleGAN.html215 B
~Get Your Files Here !/7. Generate Videos from Other Videos/5. [Coding Exercise] Hands-on Pix2Pix GAN.mp470.33 MB
~Get Your Files Here !/7. Generate Videos from Other Videos/5. [Coding Exercise] Hands-on Pix2Pix GAN.srt9.07 KB
~Get Your Files Here !/7. Generate Videos from Other Videos/6. [Coding Exercise] Hands-on Pix2Pix GAN.html215 B

Trackers

No trackers found.