[ DevCourseWeb.com ] Udemy - Introduction to Generative Adversarial Networks with PyTorch
File List
- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/3. Implement Progressive GANs on Celebs Dataset.mp4 308.1 MB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/3. Implement Conditional GAN on MNIST Dataset.mp4 258.6 MB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/7. Implement Wasserstein Loss Function.mp4 223.0 MB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/3. Implement DC-GAN on UC Birds Dataset.mp4 151.8 MB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/9. [Coding Exercise] GAN Evaluation Metrics Inception Score.mp4 127.9 MB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/7. Implement Vanilla GAN on MNIST Dataset to Generate Digits.mp4 123.2 MB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/10. [Coding Exercise] GAN Evaluation Metrics FID Score.mp4 120.6 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.mp4 119.9 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/7. [Coding Exercise] Hands-on CycleGAN.mp4 113.0 MB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/9. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.mp4 97.9 MB
- ~Get Your Files Here !/1. Course Agenda/1. Course Agenda.mp4 91.5 MB
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/6. PyTorch Custom Loss Function.mp4 89.5 MB
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/2. PyTorch Forward and Backward Propagation.mp4 76.5 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/5. [Coding Exercise] Hands-on Pix2Pix GAN.mp4 70.3 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/3. Working of Pix2Pix GAN and CycleGAN.mp4 67.0 MB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/5. Implementing GAN Training Methodology.mp4 63.9 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/11. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.mp4 41.9 MB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/1. Introduction to DC-GANs.mp4 33.8 MB
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/4. PyTorch Autograd Mechanism.mp4 31.0 MB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/5. Working of Wasserstein Loss Function.mp4 30.7 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/1. Introduction to U-NET Architecture.mp4 28.3 MB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/1. Introduction to GANs.mp4 26.6 MB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/5. Working of Multi-way Loss Function.mp4 25.5 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/9. Working of Vid2Vid GAN.mp4 23.3 MB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/1. Introduction to Conditional GANs.mp4 13.7 MB
- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/1. Introduction to Progressive GANs.mp4 12.0 MB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/13. Conclusion, Next Steps, and Future Directions.mp4 8.9 MB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/3. Working of GAN Loss Function.mp4 8.7 MB
- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/5. Hints, Tips, and Tricks for GAN Training.mp4 8.3 MB
- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/Section 5 - Lecture 2.ipynb 4.6 MB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/Section 4 - Lecture 2.ipynb 3.1 MB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/Section 4 - Lecture 4.ipynb 403.3 KB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/Section_6_CycleGAN.ipynb 261.0 KB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/Section_6_Pix2Pix_GAN.ipynb 225.0 KB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Lecture 2 - FashionMNIST Excercise.ipynb 108.2 KB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Lecture 2.ipynb 93.4 KB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section_3_Lecture_5_GP_WGAN.ipynb 89.9 KB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/[Coding_Exercise]_GAN_Evaluation_Metrics_FID_Score.ipynb 65.9 KB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Lecture 4.ipynb 45.0 KB
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/Section 1.ipynb 39.6 KB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/7. Implement Wasserstein Loss Function.srt 39.1 KB
- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/3. Implement Progressive GANs on Celebs Dataset.srt 38.3 KB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/[Coding_Exercise]_GAN_Evaluation_Metrics_Inception_Score.ipynb 37.6 KB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/3. Implement Conditional GAN on MNIST Dataset.srt 36.1 KB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/Section 3 - Bonus - Learning Rate Decay.ipynb 30.7 KB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/Section 2.ipynb 27.6 KB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/Section 2 - Exercise.ipynb 24.4 KB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/7. Implement Vanilla GAN on MNIST Dataset to Generate Digits.srt 22.2 KB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/9. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.srt 21.5 KB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/9. [Coding Exercise] GAN Evaluation Metrics Inception Score.srt 20.3 KB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/10. [Coding Exercise] GAN Evaluation Metrics FID Score.srt 19.9 KB
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/6. PyTorch Custom Loss Function.srt 19.5 KB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/3. Implement DC-GAN on UC Birds Dataset.srt 16.9 KB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/7. [Coding Exercise] Hands-on CycleGAN.srt 15.4 KB
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/2. PyTorch Forward and Backward Propagation.srt 14.6 KB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/7. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.srt 14.0 KB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/3. Working of Pix2Pix GAN and CycleGAN.srt 13.5 KB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/5. Working of Wasserstein Loss Function.srt 12.2 KB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/5. Implementing GAN Training Methodology.srt 10.1 KB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/1. Introduction to DC-GANs.srt 10.0 KB
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/5. Working of Multi-way Loss Function.srt 10.0 KB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/1. Introduction to U-NET Architecture.srt 9.7 KB
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/4. PyTorch Autograd Mechanism.srt 9.1 KB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/5. [Coding Exercise] Hands-on Pix2Pix GAN.srt 9.1 KB
- ~Get Your Files Here !/1. Course Agenda/1. Course Agenda.srt 9.0 KB
- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/1. Introduction to Progressive GANs.srt 9.0 KB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/3. Working of GAN Loss Function.srt 7.3 KB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/9. Working of Vid2Vid GAN.srt 7.0 KB
- ~Get Your Files Here !/8. Appendix Interesting Readings/2. MaskGAN Towards Diverse and Interactive Facial Image Manipulation.html 6.6 KB
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/1. Introduction to Conditional GANs.srt 6.5 KB
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/1. Introduction to GANs.srt 5.8 KB
- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/5. Hints, Tips, and Tricks for GAN Training.srt 5.8 KB
- ~Get Your Files Here !/8. Appendix Interesting Readings/1. LeakGAN Long Text Generation via Adversarial Training with Leaked Information.html 5.7 KB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/11. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.srt 5.5 KB
- ~Get Your Files Here !/8. Appendix Interesting Readings/4. GraphGAN Graph Representation Learning with Generative Adversarial Nets.html 4.9 KB
- ~Get Your Files Here !/8. Appendix Interesting Readings/3. MGAN Markovian Generative Adversarial Networks.html 3.8 KB
- ~Get Your Files Here !/7. Generate Videos from Other Videos/13. Conclusion, Next Steps, and Future Directions.srt 3.4 KB
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/1. Notebook Versioning Notice.html 1.1 KB
- ~Get Your Files Here !/Bonus Resources.txt 386 bytes
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/3. PyTorch Forward and Backward Propagation.html 215 bytes
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/5. PyTorch Autograd Mechanism.html 215 bytes
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/7. PyTorch Custom Loss Function.html 215 bytes
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/11. GAN Evaluation Metrics.html 215 bytes
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/2. Introduction to GANs.html 215 bytes
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/4. Working of GAN Loss Function.html 215 bytes
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/6. Implementing GAN Training Methodology.html 215 bytes
- ~Get Your Files Here !/3. Generate Handwritten Digits with Vanilla GAN/8. Implement Vanilla GAN on MNIST Dataset to Generate Digits.html 215 bytes
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/10. [Coding Exercise] Gradient Penalty Wasserstein GAN - GP-WGAN.html 215 bytes
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/2. Introduction to Conditional GANs.html 215 bytes
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/4. Implement Conditional GAN on MNIST Dataset.html 215 bytes
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/6. Working of Wasserstein Loss Function.html 215 bytes
- ~Get Your Files Here !/4. Generate Specific Digits with Conditional GAN/8. Implement Wasserstein Loss Function.html 215 bytes
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/2. Introduction to DC-GANs.html 215 bytes
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/4. Implement DC-GAN on UC Birds Dataset.html 215 bytes
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/6. Working of Multi-way Loss Function.html 215 bytes
- ~Get Your Files Here !/5. Diving Deeper with a Deep Convolutional GAN/8. Implement multi-way loss with Auxiliary-GAN on UC Birds Dataset.html 215 bytes
- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/2. Introduction to Progressive GANs.html 215 bytes
- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/4. Implement Progressive GANs on Celebs Dataset.html 215 bytes
- ~Get Your Files Here !/6. Generate Realistic Human Faces with Progressive GAN/6. Hints, Tips, and Tricks for GAN Training.html 215 bytes
- ~Get Your Files Here !/7. Generate Videos from Other Videos/10. Working of Vid2Vid GAN.html 215 bytes
- ~Get Your Files Here !/7. Generate Videos from Other Videos/12. Diving Deeper into Vid2Vid GAN using YouTube Dance Video Dataset.html 215 bytes
- ~Get Your Files Here !/7. Generate Videos from Other Videos/14. Conclusion, Next Steps, and Future Directions.html 215 bytes
- ~Get Your Files Here !/7. Generate Videos from Other Videos/2. Introduction to U-NET Architecture.html 215 bytes
- ~Get Your Files Here !/7. Generate Videos from Other Videos/4. Working of Pix2Pix GAN and CycleGAN.html 215 bytes
- ~Get Your Files Here !/7. Generate Videos from Other Videos/6. [Coding Exercise] Hands-on Pix2Pix GAN.html 215 bytes
- ~Get Your Files Here !/7. Generate Videos from Other Videos/8. [Coding Exercise] Hands-on CycleGAN.html 215 bytes
- Get Bonus Downloads Here.url 182 bytes
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/4.1 Revised source code for section 1.html 146 bytes
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/2.3 Slack Channel Inactive.html 127 bytes
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/6.1 Code Errata.html 127 bytes
- ~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.html 93 bytes
- ~Get Your Files Here !/8. Appendix Interesting Readings/1.1 Arxiv Paper.html 93 bytes
- ~Get Your Files Here !/8. Appendix Interesting Readings/2.1 Arxiv Paper.html 93 bytes
- ~Get Your Files Here !/8. Appendix Interesting Readings/3.1 Arxiv Paper.html 93 bytes
- ~Get Your Files Here !/8. Appendix Interesting Readings/4.1 Arxiv Paper.html 93 bytes
- ~Get Your Files Here !/2. Introduction to PyTorch for GANs/2.1 Course Discussions Channel on Slack.html 83 bytes
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