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[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery

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Udemy - PyTorch for Deep Learning in 2023: Zero to Mastery

PyTorch enables you to craft new and use existing state-of-the-art deep learning algorithms like neural networks powering much of today’s Artificial Intelligence (AI) applications.

Created by Andrei Neagoie, Daniel Bourke, Zero To Mastery
Last updated 6/2023
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[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery
1. Introduction/1. PyTorch for Deep Learning.mp4 75.3 MB
1. Introduction/1. PyTorch for Deep Learning.srt 5.2 KB
1. Introduction/2. Course Welcome and What Is Deep Learning.mp4 39 MB
1. Introduction/2. Course Welcome and What Is Deep Learning.srt 8.6 KB
1. Introduction/3. Join Our Online Classroom!.mp4 75.3 MB
1. Introduction/3. Join Our Online Classroom!.srt 6 KB
1. Introduction/4. Exercise Meet Your Classmates + Instructor.html 3.8 KB
1. Introduction/5. Free Course Book + Code Resources + Asking Questions + Getting Help.html 2.4 KB
1. Introduction/6. ZTM Resources.mp4 44.6 MB
1. Introduction/6. ZTM Resources.srt 6.3 KB
1. Introduction/6.1 LinkedIn Group.html 102 B
1. Introduction/6.2 zerotomastery.io.html 86 B
1. Introduction/6.3 ZTM Youtube.html 99 B
1. Introduction/7. Machine Learning + Python Monthly Newsletters.html 2 KB
10. PyTorch Paper Replicating/1. What Is a Machine Learning Research Paper.mp4 93.9 MB
10. PyTorch Paper Replicating/1. What Is a Machine Learning Research Paper.srt 11.7 KB
10. PyTorch Paper Replicating/10. Breaking Down Figure 1 of the ViT Paper.mp4 87.1 MB
10. PyTorch Paper Replicating/10. Breaking Down Figure 1 of the ViT Paper.srt 16.9 KB
10. PyTorch Paper Replicating/11. Breaking Down the Four Equations Overview and a Trick for Reading Papers.mp4 140.9 MB
10. PyTorch Paper Replicating/11. Breaking Down the Four Equations Overview and a Trick for Reading Papers.srt 16.2 KB
10. PyTorch Paper Replicating/12. Breaking Down Equation 1.mp4 103.2 MB
10. PyTorch Paper Replicating/12. Breaking Down Equation 1.srt 12 KB
10. PyTorch Paper Replicating/13. Breaking Down Equation 2 and 3.mp4 125 MB
10. PyTorch Paper Replicating/13. Breaking Down Equation 2 and 3.srt 14.8 KB
10. PyTorch Paper Replicating/14. Breaking Down Equation 4.mp4 92.4 MB
10. PyTorch Paper Replicating/14. Breaking Down Equation 4.srt 10.1 KB
10. PyTorch Paper Replicating/15. Breaking Down Table 1.mp4 122.1 MB
10. PyTorch Paper Replicating/15. Breaking Down Table 1.srt 15.1 KB
10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4 160.6 MB
10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.srt 20.6 KB
10. PyTorch Paper Replicating/17. Turning a Single Image into Patches (Part 1 Patching the Top Row).mp4 150.2 MB
10. PyTorch Paper Replicating/17. Turning a Single Image into Patches (Part 1 Patching the Top Row).srt 20.3 KB
10. PyTorch Paper Replicating/18. Turning a Single Image into Patches (Part 2 Patching the Entire Image).mp4 130.7 MB
10. PyTorch Paper Replicating/18. Turning a Single Image into Patches (Part 2 Patching the Entire Image).srt 16.2 KB
10. PyTorch Paper Replicating/19. Creating Patch Embeddings with a Convolutional Layer.mp4 142.6 MB
10. PyTorch Paper Replicating/19. Creating Patch Embeddings with a Convolutional Layer.srt 18.6 KB
10. PyTorch Paper Replicating/2. Why Replicate a Machine Learning Research Paper.mp4 23.3 MB
10. PyTorch Paper Replicating/2. Why Replicate a Machine Learning Research Paper.srt 4.9 KB
10. PyTorch Paper Replicating/20. Exploring the Outputs of Our Convolutional Patch Embedding Layer.mp4 129.1 MB
10. PyTorch Paper Replicating/20. Exploring the Outputs of Our Convolutional Patch Embedding Layer.srt 17.9 KB
10. PyTorch Paper Replicating/21. Flattening Our Convolutional Feature Maps into a Sequence of Patch Embeddings.mp4 89.6 MB
10. PyTorch Paper Replicating/21. Flattening Our Convolutional Feature Maps into a Sequence of Patch Embeddings.srt 13.2 KB
10. PyTorch Paper Replicating/22. Visualizing a Single Sequence Vector of Patch Embeddings.mp4 50.4 MB
10. PyTorch Paper Replicating/22. Visualizing a Single Sequence Vector of Patch Embeddings.srt 6.9 KB
10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4 170 MB
10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.srt 22.8 KB
10. PyTorch Paper Replicating/24. Creating the Class Token Embedding.mp4 132 MB
10. PyTorch Paper Replicating/24. Creating the Class Token Embedding.srt 17.5 KB
10. PyTorch Paper Replicating/25. Creating the Class Token Embedding - Less Birds.mp4 131.9 MB
10. PyTorch Paper Replicating/25. Creating the Class Token Embedding - Less Birds.srt 17.7 KB
10. PyTorch Paper Replicating/26. Creating the Position Embedding.mp4 109.2 MB
10. PyTorch Paper Replicating/26. Creating the Position Embedding.srt 16.7 KB
10. PyTorch Paper Replicating/27. Equation 1 Putting it All Together.mp4 134.8 MB
10. PyTorch Paper Replicating/27. Equation 1 Putting it All Together.srt 18.5 KB
10. PyTorch Paper Replicating/28. Equation 2 Multihead Attention Overview.mp4 144.1 MB
10. PyTorch Paper Replicating/28. Equation 2 Multihead Attention Overview.srt 21.6 KB
10. PyTorch Paper Replicating/29. Equation 2 Layernorm Overview.mp4 111.7 MB
10. PyTorch Paper Replicating/29. Equation 2 Layernorm Overview.srt 12.8 KB
10. PyTorch Paper Replicating/3. Where Can You Find Machine Learning Research Papers and Code.mp4 110.8 MB
10. PyTorch Paper Replicating/3. Where Can You Find Machine Learning Research Papers and Code.srt 13.3 KB
10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4 163.9 MB
10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.srt 20.8 KB
10. PyTorch Paper Replicating/31. Checking the Inputs and Outputs of Equation.mp4 53.7 MB
10. PyTorch Paper Replicating/31. Checking the Inputs and Outputs of Equation.srt 7.8 KB
10. PyTorch Paper Replicating/32. Equation 3 Replication Overview.mp4 88.7 MB
10. PyTorch Paper Replicating/32. Equation 3 Replication Overview.srt 12.2 KB
10. PyTorch Paper Replicating/33. Turning Equation 3 into Code.mp4 107.1 MB
10. PyTorch Paper Replicating/33. Turning Equation 3 into Code.srt 14.9 KB
10. PyTorch Paper Replicating/34. Transformer Encoder Overview.mp4 82.9 MB
10. PyTorch Paper Replicating/34. Transformer Encoder Overview.srt 10.8 KB
10. PyTorch Paper Replicating/35. Combining equation 2 and 3 to Create the Transformer Encoder.mp4 84.9 MB
10. PyTorch Paper Replicating/35. Combining equation 2 and 3 to Create the Transformer Encoder.srt 12.7 KB
10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 188.7 MB
10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.srt 21.3 KB
10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.mp4 190.8 MB
10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.srt 26.3 KB
10. PyTorch Paper Replicating/38. Bringing Our Own Vision Transformer to Life - Part 2 The Forward Method.mp4 111.4 MB
10. PyTorch Paper Replicating/38. Bringing Our Own Vision Transformer to Life - Part 2 The Forward Method.srt 14.9 KB
10. PyTorch Paper Replicating/39. Getting a Visual Summary of Our Custom Vision Transformer.mp4 84.9 MB
10. PyTorch Paper Replicating/39. Getting a Visual Summary of Our Custom Vision Transformer.srt 10.9 KB
10. PyTorch Paper Replicating/4. What We Are Going to Cover.mp4 87.8 MB
10. PyTorch Paper Replicating/4. What We Are Going to Cover.srt 13.1 KB
10. PyTorch Paper Replicating/40. Creating a Loss Function and Optimizer from the ViT Paper.mp4 118.3 MB
10. PyTorch Paper Replicating/40. Creating a Loss Function and Optimizer from the ViT Paper.srt 16.2 KB
10. PyTorch Paper Replicating/41. Training our Custom ViT on Food Vision Mini.mp4 53.5 MB
10. PyTorch Paper Replicating/41. Training our Custom ViT on Food Vision Mini.srt 7 KB
10. PyTorch Paper Replicating/42. Discussing what Our Training Setup Is Missing.mp4 101.2 MB
10. PyTorch Paper Replicating/42. Discussing what Our Training Setup Is Missing.srt 12.7 KB
10. PyTorch Paper Replicating/43. Plotting a Loss Curve for Our ViT Model.mp4 63.4 MB
10. PyTorch Paper Replicating/43. Plotting a Loss Curve for Our ViT Model.srt 8.7 KB
10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 164.7 MB
10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.srt 19.9 KB
10. PyTorch Paper Replicating/45. Preparing Data to Be Used with a Pretrained ViT.mp4 57.2 MB
10. PyTorch Paper Replicating/45. Preparing Data to Be Used with a Pretrained ViT.srt 7.2 KB
10. PyTorch Paper Replicating/46. Training a Pretrained ViT Feature Extractor Model for Food Vision Mini.mp4 76.3 MB
10. PyTorch Paper Replicating/46. Training a Pretrained ViT Feature Extractor Model for Food Vision Mini.srt 10.3 KB

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