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

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  3. Creat Time：2024-06-06
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  5. Last Active：2024-11-18
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    [FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery

  1. 5. PyTorch Computer Vision/22. Model 2 Coding Our First Convolutional Neural Network with PyTorch.mp4 213.33 MB
  2. 10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.mp4 195.39 MB
  3. 10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 193.27 MB
  4. 11. PyTorch Model Deployment/23. Creating a Function to Make and Time Predictions with Our Models.mp4 190.23 MB
  5. 11. PyTorch Model Deployment/49. Training Food Vision Big Our Biggest Model Yet!.mp4 188.63 MB
  6. 3. PyTorch Workflow/15. Reviewing the Steps in a Training Loop Step by Step.mp4 181.71 MB
  7. 6. PyTorch Custom Datasets/14. Writing a PyTorch Custom Dataset Class from Scratch to Load Our Images.mp4 180.50 MB
  8. 5. PyTorch Computer Vision/25. Mode 2 Using a Trick to Find the Input and Output Shapes of Each of Our Layers.mp4 179.01 MB
  9. 10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4 174.11 MB
  10. 6. PyTorch Custom Datasets/18. Exploring State of the Art Data Augmentation With Torchvision Transforms.mp4 170.34 MB
  11. 7. PyTorch Going Modular/9. Creating a Training Script to Train Our Model in One Line of Code.mp4 169.51 MB
  12. 10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 168.70 MB
  13. 10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4 167.79 MB
  14. 5. PyTorch Computer Vision/23. Model 2 Breaking Down Conv2D Step by Step.mp4 166.61 MB
  15. 11. PyTorch Model Deployment/56. Deploying Food Vision Big to Hugging Face Spaces.mp4 166.42 MB
  16. 3. PyTorch Workflow/18. Reviewing What Happens in a Testing Loop Step by Step.mp4 165.44 MB
  17. 4. PyTorch Neural Network Classification/10. Loss Function Optimizer and Evaluation Function for Our Classification Network.mp4 164.91 MB
  18. 5. PyTorch Computer Vision/31. Making Predictions and Importing Libraries to Plot a Confusion Matrix.mp4 164.70 MB
  19. 8. PyTorch Transfer Learning/12. Freezing the Base Layers of Our Model and Updating the Classifier Head.mp4 164.53 MB
  20. 10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4 164.45 MB
  21. 9. PyTorch Experiment Tracking/16. Creating Functions to Prepare Our Feature Extractor Models.mp4 163.02 MB
  22. 5. PyTorch Computer Vision/24. Model 2 Breaking Down MaxPool2D Step by Step.mp4 161.90 MB
  23. 5. PyTorch Computer Vision/12. Writing Training and Testing Loops for Our Batched Data.mp4 161.34 MB
  24. 7. PyTorch Going Modular/4. Writing the Outline for Our First Python Script to Setup the Data.mp4 160.55 MB
  25. 5. PyTorch Computer Vision/5. Getting a Computer Vision Dataset and Checking Out Its- Input and Output Shapes.mp4 157.69 MB
  26. 6. PyTorch Custom Datasets/3. Downloading a Custom Dataset of Pizza, Steak and Sushi Images.mp4 154.57 MB
  27. 4. PyTorch Neural Network Classification/22. Writing Training and Testing Code for Our First Non-Linear Model.mp4 154.18 MB
  28. 9. PyTorch Experiment Tracking/7. Setting Up a Way to Track a Single Model Experiment with TensorBoard.mp4 153.89 MB
  29. 10. PyTorch Paper Replicating/17. Turning a Single Image into Patches (Part 1 Patching the Top Row).mp4 153.76 MB
  30. 4. PyTorch Neural Network Classification/29. Training a Multi-Class Classification Model and Troubleshooting Code on the Fly.mp4 153.68 MB
  31. 4. PyTorch Neural Network Classification/13. Writing Code to Download a Helper Function to Visualize Our Models Predictions.mp4 153.59 MB
  32. 10. PyTorch Paper Replicating/28. Equation 2 Multihead Attention Overview.mp4 147.56 MB
  33. 11. PyTorch Model Deployment/42. Uploading Our Food Vision Mini App to Hugging Face Spaces Programmatically.mp4 147.04 MB
  34. 10. PyTorch Paper Replicating/19. Creating Patch Embeddings with a Convolutional Layer.mp4 146.04 MB
  35. 8. PyTorch Transfer Learning/6. Turning Our Data into DataLoaders with Manually Created Transforms.mp4 144.88 MB
  36. 10. PyTorch Paper Replicating/11. Breaking Down the Four Equations Overview and a Trick for Reading Papers.mp4 144.30 MB
  37. 9. PyTorch Experiment Tracking/19. Viewing Our Modelling Experiments in TensorBoard.mp4 143.66 MB
  38. 11. PyTorch Model Deployment/3. Where Is My Model Going to Go.mp4 143.20 MB
  39. 8. PyTorch Transfer Learning/7. Turning Our Data into DataLoaders with Automatic Created Transforms.mp4 143.09 MB
  40. 11. PyTorch Model Deployment/39. Turning Our Food Vision Mini Demo App Into a Python Script.mp4 140.92 MB
  41. 5. PyTorch Computer Vision/9. Model 0 Creating a Baseline Model with Two Linear Layers.mp4 140.17 MB
  42. 11. PyTorch Model Deployment/32. Bringing Food Vision Mini to Life in a Live Web Application.mp4 138.63 MB
  43. 7. PyTorch Going Modular/5. Creating a Python Script to Create Our PyTorch DataLoaders.mp4 138.39 MB
  44. 3. PyTorch Workflow/17. Writing Testing Loop Code and Discussing What's Happening Step by Step.mp4 138.27 MB
  45. 10. PyTorch Paper Replicating/27. Equation 1 Putting it All Together.mp4 138.04 MB
  46. 11. PyTorch Model Deployment/27. Visualizing the Performance vs Speed Trade-off.mp4 137.90 MB
  47. 4. PyTorch Neural Network Classification/11. Going from Model Logits to Prediction Probabilities to Prediction Labels.mp4 137.76 MB
  48. 12. Introduction to PyTorch 2.0 and torch.compile/22. Experiment 3 - Training a Non-Compiled Model for Multiple Runs.mp4 135.98 MB
  49. 10. PyTorch Paper Replicating/24. Creating the Class Token Embedding.mp4 135.15 MB
  50. 10. PyTorch Paper Replicating/25. Creating the Class Token Embedding - Less Birds.mp4 135.07 MB
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