| 5. PyTorch Computer Vision/22. Model 2 Coding Our First Convolutional Neural Network with PyTorch.mp4 | 208.33 MB |
| 10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.mp4 | 190.82 MB |
| 10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 | 188.75 MB |
| 11. PyTorch Model Deployment/23. Creating a Function to Make and Time Predictions with Our Models.mp4 | 185.78 MB |
| 11. PyTorch Model Deployment/49. Training Food Vision Big Our Biggest Model Yet!.mp4 | 184.22 MB |
| 3. PyTorch Workflow/15. Reviewing the Steps in a Training Loop Step by Step.mp4 | 177.46 MB |
| 6. PyTorch Custom Datasets/14. Writing a PyTorch Custom Dataset Class from Scratch to Load Our Images.mp4 | 176.28 MB |
| 5. PyTorch Computer Vision/25. Mode 2 Using a Trick to Find the Input and Output Shapes of Each of Our Layers.mp4 | 174.82 MB |
| 10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4 | 170.03 MB |
| 6. PyTorch Custom Datasets/18. Exploring State of the Art Data Augmentation With Torchvision Transforms.mp4 | 166.35 MB |
| 7. PyTorch Going Modular/9. Creating a Training Script to Train Our Model in One Line of Code.mp4 | 165.52 MB |
| 10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 | 164.75 MB |
| 10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4 | 163.87 MB |
| 5. PyTorch Computer Vision/23. Model 2 Breaking Down Conv2D Step by Step.mp4 | 162.72 MB |
| 11. PyTorch Model Deployment/56. Deploying Food Vision Big to Hugging Face Spaces.mp4 | 162.53 MB |
| 3. PyTorch Workflow/18. Reviewing What Happens in a Testing Loop Step by Step.mp4 | 161.56 MB |
| 4. PyTorch Neural Network Classification/10. Loss Function Optimizer and Evaluation Function for Our Classification Network.mp4 | 161.06 MB |
| 5. PyTorch Computer Vision/31. Making Predictions and Importing Libraries to Plot a Confusion Matrix.mp4 | 160.84 MB |
| 8. PyTorch Transfer Learning/12. Freezing the Base Layers of Our Model and Updating the Classifier Head.mp4 | 160.67 MB |
| 10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4 | 160.6 MB |
| 9. PyTorch Experiment Tracking/16. Creating Functions to Prepare Our Feature Extractor Models.mp4 | 159.21 MB |
| 5. PyTorch Computer Vision/24. Model 2 Breaking Down MaxPool2D Step by Step.mp4 | 158.11 MB |
| 5. PyTorch Computer Vision/12. Writing Training and Testing Loops for Our Batched Data.mp4 | 157.56 MB |
| 7. PyTorch Going Modular/4. Writing the Outline for Our First Python Script to Setup the Data.mp4 | 156.79 MB |
| 5. PyTorch Computer Vision/5. Getting a Computer Vision Dataset and Checking Out Its- Input and Output Shapes.mp4 | 154 MB |
| 6. PyTorch Custom Datasets/3. Downloading a Custom Dataset of Pizza, Steak and Sushi Images.mp4 | 150.96 MB |
| 4. PyTorch Neural Network Classification/22. Writing Training and Testing Code for Our First Non-Linear Model.mp4 | 150.57 MB |
| 9. PyTorch Experiment Tracking/7. Setting Up a Way to Track a Single Model Experiment with TensorBoard.mp4 | 150.28 MB |
| 10. PyTorch Paper Replicating/17. Turning a Single Image into Patches (Part 1 Patching the Top Row).mp4 | 150.16 MB |
| 4. PyTorch Neural Network Classification/29. Training a Multi-Class Classification Model and Troubleshooting Code on the Fly.mp4 | 150.09 MB |
| 4. PyTorch Neural Network Classification/13. Writing Code to Download a Helper Function to Visualize Our Models Predictions.mp4 | 149.99 MB |
| 10. PyTorch Paper Replicating/28. Equation 2 Multihead Attention Overview.mp4 | 144.11 MB |
| 11. PyTorch Model Deployment/42. Uploading Our Food Vision Mini App to Hugging Face Spaces Programmatically.mp4 | 143.59 MB |
| 10. PyTorch Paper Replicating/19. Creating Patch Embeddings with a Convolutional Layer.mp4 | 142.63 MB |
| 8. PyTorch Transfer Learning/6. Turning Our Data into DataLoaders with Manually Created Transforms.mp4 | 141.48 MB |
| 10. PyTorch Paper Replicating/11. Breaking Down the Four Equations Overview and a Trick for Reading Papers.mp4 | 140.93 MB |
| 9. PyTorch Experiment Tracking/19. Viewing Our Modelling Experiments in TensorBoard.mp4 | 140.3 MB |
| 11. PyTorch Model Deployment/3. Where Is My Model Going to Go.mp4 | 139.84 MB |
| 8. PyTorch Transfer Learning/7. Turning Our Data into DataLoaders with Automatic Created Transforms.mp4 | 139.74 MB |
| 11. PyTorch Model Deployment/39. Turning Our Food Vision Mini Demo App Into a Python Script.mp4 | 137.63 MB |
| 5. PyTorch Computer Vision/9. Model 0 Creating a Baseline Model with Two Linear Layers.mp4 | 136.88 MB |
| 11. PyTorch Model Deployment/32. Bringing Food Vision Mini to Life in a Live Web Application.mp4 | 135.39 MB |
| 7. PyTorch Going Modular/5. Creating a Python Script to Create Our PyTorch DataLoaders.mp4 | 135.14 MB |
| 3. PyTorch Workflow/17. Writing Testing Loop Code and Discussing What's Happening Step by Step.mp4 | 135.03 MB |
| 10. PyTorch Paper Replicating/27. Equation 1 Putting it All Together.mp4 | 134.82 MB |
| 11. PyTorch Model Deployment/27. Visualizing the Performance vs Speed Trade-off.mp4 | 134.67 MB |
| 4. PyTorch Neural Network Classification/11. Going from Model Logits to Prediction Probabilities to Prediction Labels.mp4 | 134.54 MB |
| 10. PyTorch Paper Replicating/24. Creating the Class Token Embedding.mp4 | 131.99 MB |
| 10. PyTorch Paper Replicating/25. Creating the Class Token Embedding - Less Birds.mp4 | 131.91 MB |
| 6. PyTorch Custom Datasets/27. The Balance Between Overfitting and Underfitting and How to Deal With Each.mp4 | 131.82 MB |