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

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Title: Udemy - PyTorch for Deep Learning inGroup: NOGRPYear: 2023Source: Udemy
Info Hash
AA903D0091C7B89352F43773CCCD1D86586998E3
Source
Unverified
Total Size
29.69 GB
Total Files
100
Seeders
7
Leechers
1
Health
3.50
Score
15
Type
Bookware

File List

FileSize
0. Websites you may like/[CourseClub.Me].url122 B
0. Websites you may like/[FreeCourseSite.com].url127 B
0. Websites you may like/[GigaCourse.Com].url49 B
1. Introduction/1. PyTorch for Deep Learning.mp475.35 MB
1. Introduction/1. PyTorch for Deep Learning.srt5.2 KB
1. Introduction/2. Course Welcome and What Is Deep Learning.mp438.99 MB
1. Introduction/2. Course Welcome and What Is Deep Learning.srt8.57 KB
1. Introduction/3. Join Our Online Classroom!.mp475.34 MB
1. Introduction/3. Join Our Online Classroom!.srt5.95 KB
1. Introduction/4. Exercise Meet Your Classmates + Instructor.html3.79 KB
1. Introduction/5. Free Course Book + Code Resources + Asking Questions + Getting Help.html2.37 KB
1. Introduction/6. ZTM Resources.mp444.57 MB
1. Introduction/6. ZTM Resources.srt6.31 KB
1. Introduction/6.1 LinkedIn Group.html102 B
1. Introduction/6.2 zerotomastery.io.html86 B
1. Introduction/6.3 ZTM Youtube.html99 B
1. Introduction/7. Machine Learning + Python Monthly Newsletters.html1.96 KB
10. PyTorch Paper Replicating/1. What Is a Machine Learning Research Paper.mp493.94 MB
10. PyTorch Paper Replicating/1. What Is a Machine Learning Research Paper.srt11.73 KB
10. PyTorch Paper Replicating/10. Breaking Down Figure 1 of the ViT Paper.mp487.11 MB
10. PyTorch Paper Replicating/10. Breaking Down Figure 1 of the ViT Paper.srt16.94 KB
10. PyTorch Paper Replicating/11. Breaking Down the Four Equations Overview and a Trick for Reading Papers.mp4140.92 MB
10. PyTorch Paper Replicating/11. Breaking Down the Four Equations Overview and a Trick for Reading Papers.srt16.17 KB
10. PyTorch Paper Replicating/12. Breaking Down Equation 1.mp4103.21 MB
10. PyTorch Paper Replicating/12. Breaking Down Equation 1.srt11.96 KB
10. PyTorch Paper Replicating/13. Breaking Down Equation 2 and 3.mp4125.03 MB
10. PyTorch Paper Replicating/13. Breaking Down Equation 2 and 3.srt14.83 KB
10. PyTorch Paper Replicating/14. Breaking Down Equation 4.mp492.43 MB
10. PyTorch Paper Replicating/14. Breaking Down Equation 4.srt10.12 KB
10. PyTorch Paper Replicating/15. Breaking Down Table 1.mp4122.09 MB
10. PyTorch Paper Replicating/15. Breaking Down Table 1.srt15.12 KB
10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4160.59 MB
10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.srt20.64 KB
10. PyTorch Paper Replicating/17. Turning a Single Image into Patches (Part 1 Patching the Top Row).mp4150.15 MB
10. PyTorch Paper Replicating/17. Turning a Single Image into Patches (Part 1 Patching the Top Row).srt20.27 KB
10. PyTorch Paper Replicating/18. Turning a Single Image into Patches (Part 2 Patching the Entire Image).mp4130.65 MB
10. PyTorch Paper Replicating/18. Turning a Single Image into Patches (Part 2 Patching the Entire Image).srt16.21 KB
10. PyTorch Paper Replicating/19. Creating Patch Embeddings with a Convolutional Layer.mp4142.62 MB
10. PyTorch Paper Replicating/19. Creating Patch Embeddings with a Convolutional Layer.srt18.63 KB
10. PyTorch Paper Replicating/2. Why Replicate a Machine Learning Research Paper.mp423.26 MB
10. PyTorch Paper Replicating/2. Why Replicate a Machine Learning Research Paper.srt4.87 KB
10. PyTorch Paper Replicating/20. Exploring the Outputs of Our Convolutional Patch Embedding Layer.mp4129.06 MB
10. PyTorch Paper Replicating/20. Exploring the Outputs of Our Convolutional Patch Embedding Layer.srt17.95 KB
10. PyTorch Paper Replicating/21. Flattening Our Convolutional Feature Maps into a Sequence of Patch Embeddings.mp489.61 MB
10. PyTorch Paper Replicating/21. Flattening Our Convolutional Feature Maps into a Sequence of Patch Embeddings.srt13.21 KB
10. PyTorch Paper Replicating/22. Visualizing a Single Sequence Vector of Patch Embeddings.mp450.37 MB
10. PyTorch Paper Replicating/22. Visualizing a Single Sequence Vector of Patch Embeddings.srt6.91 KB
10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4170.03 MB
10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.srt22.79 KB
10. PyTorch Paper Replicating/24. Creating the Class Token Embedding.mp4131.98 MB
10. PyTorch Paper Replicating/24. Creating the Class Token Embedding.srt17.52 KB
10. PyTorch Paper Replicating/25. Creating the Class Token Embedding - Less Birds.mp4131.91 MB
10. PyTorch Paper Replicating/25. Creating the Class Token Embedding - Less Birds.srt17.66 KB
10. PyTorch Paper Replicating/26. Creating the Position Embedding.mp4109.18 MB
10. PyTorch Paper Replicating/26. Creating the Position Embedding.srt16.7 KB
10. PyTorch Paper Replicating/27. Equation 1 Putting it All Together.mp4134.81 MB
10. PyTorch Paper Replicating/27. Equation 1 Putting it All Together.srt18.49 KB
10. PyTorch Paper Replicating/28. Equation 2 Multihead Attention Overview.mp4144.1 MB
10. PyTorch Paper Replicating/28. Equation 2 Multihead Attention Overview.srt21.6 KB
10. PyTorch Paper Replicating/29. Equation 2 Layernorm Overview.mp4111.75 MB
10. PyTorch Paper Replicating/29. Equation 2 Layernorm Overview.srt12.79 KB
10. PyTorch Paper Replicating/3. Where Can You Find Machine Learning Research Papers and Code.mp4110.76 MB
10. PyTorch Paper Replicating/3. Where Can You Find Machine Learning Research Papers and Code.srt13.31 KB
10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4163.86 MB
10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.srt20.77 KB
10. PyTorch Paper Replicating/31. Checking the Inputs and Outputs of Equation.mp453.69 MB
10. PyTorch Paper Replicating/31. Checking the Inputs and Outputs of Equation.srt7.77 KB
10. PyTorch Paper Replicating/32. Equation 3 Replication Overview.mp488.7 MB
10. PyTorch Paper Replicating/32. Equation 3 Replication Overview.srt12.23 KB
10. PyTorch Paper Replicating/33. Turning Equation 3 into Code.mp4107.07 MB
10. PyTorch Paper Replicating/33. Turning Equation 3 into Code.srt14.89 KB
10. PyTorch Paper Replicating/34. Transformer Encoder Overview.mp482.85 MB
10. PyTorch Paper Replicating/34. Transformer Encoder Overview.srt10.82 KB
10. PyTorch Paper Replicating/35. Combining equation 2 and 3 to Create the Transformer Encoder.mp484.87 MB
10. PyTorch Paper Replicating/35. Combining equation 2 and 3 to Create the Transformer Encoder.srt12.65 KB
10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4188.74 MB
10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.srt21.27 KB
10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.mp4190.81 MB
10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.srt26.26 KB
10. PyTorch Paper Replicating/38. Bringing Our Own Vision Transformer to Life - Part 2 The Forward Method.mp4111.37 MB
10. PyTorch Paper Replicating/38. Bringing Our Own Vision Transformer to Life - Part 2 The Forward Method.srt14.88 KB
10. PyTorch Paper Replicating/39. Getting a Visual Summary of Our Custom Vision Transformer.mp484.89 MB
10. PyTorch Paper Replicating/39. Getting a Visual Summary of Our Custom Vision Transformer.srt10.85 KB
10. PyTorch Paper Replicating/4. What We Are Going to Cover.mp487.76 MB
10. PyTorch Paper Replicating/4. What We Are Going to Cover.srt13.12 KB
10. PyTorch Paper Replicating/40. Creating a Loss Function and Optimizer from the ViT Paper.mp4118.33 MB
10. PyTorch Paper Replicating/40. Creating a Loss Function and Optimizer from the ViT Paper.srt16.2 KB
10. PyTorch Paper Replicating/41. Training our Custom ViT on Food Vision Mini.mp453.47 MB
10. PyTorch Paper Replicating/41. Training our Custom ViT on Food Vision Mini.srt7.02 KB
10. PyTorch Paper Replicating/42. Discussing what Our Training Setup Is Missing.mp4101.19 MB
10. PyTorch Paper Replicating/42. Discussing what Our Training Setup Is Missing.srt12.65 KB
10. PyTorch Paper Replicating/43. Plotting a Loss Curve for Our ViT Model.mp463.39 MB
10. PyTorch Paper Replicating/43. Plotting a Loss Curve for Our ViT Model.srt8.69 KB
10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4164.75 MB
10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.srt19.89 KB
10. PyTorch Paper Replicating/45. Preparing Data to Be Used with a Pretrained ViT.mp457.21 MB
10. PyTorch Paper Replicating/45. Preparing Data to Be Used with a Pretrained ViT.srt7.22 KB
10. PyTorch Paper Replicating/46. Training a Pretrained ViT Feature Extractor Model for Food Vision Mini.mp476.28 MB
10. PyTorch Paper Replicating/46. Training a Pretrained ViT Feature Extractor Model for Food Vision Mini.srt10.31 KB
10. PyTorch Paper Replicating/47. Saving Our Pretrained ViT Model to File and Inspecting Its Size.mp440.36 MB

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