| Parent directory/ | - | - |
| 25. Building A Deep Learning Model.mp4 | 121.9 MiB | 2024-Jul-08 18:05 |
| 11. Using A GPU.mp4 | 80.6 MiB | 2024-Jul-08 18:05 |
| 15. Preparing The Images.mp4 | 133.9 MiB | 2024-Jul-08 18:05 |
| 9. Importing TensorFlow 2.mp4 | 116.8 MiB | 2024-Jul-08 18:05 |
| 35. Transform Predictions To Text.mp4 | 129.9 MiB | 2024-Jul-08 18:05 |
| 12. Optional GPU and Google Colab.mp4 | 45.9 MiB | 2024-Jul-08 18:04 |
| 34. Make And Transform Predictions.mp4 | 155.0 MiB | 2024-Jul-08 18:04 |
| 42. Submitting Model to Kaggle.mp4 | 121.3 MiB | 2024-Jul-08 18:03 |
| 37. Visualizing And Evaluate Model Predictions 2.mp4 | 143.8 MiB | 2024-Jul-08 18:02 |
| 26. Building A Deep Learning Model 2.mp4 | 105.9 MiB | 2024-Jul-08 18:01 |
| 36. Visualizing Model Predictions.mp4 | 119.3 MiB | 2024-Jul-08 18:01 |
| 28. Building A Deep Learning Model 4.mp4 | 86.3 MiB | 2024-Jul-08 18:01 |
| 14. Loading Our Data Labels.mp4 | 114.8 MiB | 2024-Jul-08 18:00 |
| 22. Visualizing Our Data.mp4 | 122.0 MiB | 2024-Jul-08 17:59 |
| 29. Summarizing Our Model.mp4 | 45.4 MiB | 2024-Jul-08 17:57 |
| 28. Building A Deep Learning Model 4.srt | 12.0 KiB | 2024-Jul-08 17:57 |
| 28.1 [Article] How to choose loss & activation functions when building a deep learning model.html | 169 B | 2024-Jul-08 17:57 |
| 4. Setting Up Google Colab.mp4 | 74.2 MiB | 2024-Jul-08 17:57 |
| 21. Turning Data Into Batches 2.mp4 | 149.4 MiB | 2024-Jul-08 17:57 |
| 19. Preprocess Images 2.mp4 | 105.1 MiB | 2024-Jul-08 17:55 |
| 16. Turning Data Labels Into Numbers.mp4 | 107.5 MiB | 2024-Jul-08 17:55 |
| 40. Training Model On Full Dataset.mp4 | 139.8 MiB | 2024-Jul-08 17:54 |
| 43. Making Predictions On Our Images.mp4 | 119.2 MiB | 2024-Jul-08 17:54 |
| 2. Deep Learning and Unstructured Data.mp4 | 102.0 MiB | 2024-Jul-08 17:52 |
| 38. Visualizing And Evaluate Model Predictions 3.mp4 | 113.2 MiB | 2024-Jul-08 17:52 |
| 8. Setting Up Our Data 2.mp4 | 20.9 MiB | 2024-Jul-08 17:51 |
| 7. Setting Up Our Data.mp4 | 42.3 MiB | 2024-Jul-08 17:51 |
| 7. Setting Up Our Data.srt | 6.4 KiB | 2024-Jul-08 17:51 |
| 18. Preprocess Images.mp4 | 90.1 MiB | 2024-Jul-08 17:49 |
| 27. Building A Deep Learning Model 3.mp4 | 105.9 MiB | 2024-Jul-08 17:48 |
| 33. Evaluating Performance With TensorBoard.mp4 | 74.2 MiB | 2024-Jul-08 17:44 |
| 4. Setting Up Google Colab.srt | 74.3 MiB | 2024-Jul-08 17:44 |
| 31. Preventing Overfitting.mp4 | 36.5 MiB | 2024-Jul-08 17:44 |
| 23. Preparing Our Inputs and Outputs.mp4 | 50.1 MiB | 2024-Jul-08 17:44 |
| 32. Training Your Deep Neural Network.mp4 | 166.6 MiB | 2024-Jul-08 17:42 |
| 34. Make And Transform Predictions.srt | 19.2 KiB | 2024-Jul-08 17:40 |
| 13. Optional Reloading Colab Notebook.mp4 | 88.7 MiB | 2024-Jul-08 17:39 |
| 39. Saving And Loading A Trained Model.mp4 | 127.0 MiB | 2024-Jul-08 17:36 |
| 32. Training Your Deep Neural Network.srt | 23.1 KiB | 2024-Jul-08 17:35 |
| 36. Visualizing Model Predictions.srt | 17.0 KiB | 2024-Jul-08 17:31 |
| 30. Evaluating Our Model.mp4 | 79.3 MiB | 2024-Jul-08 17:31 |
| 41. Making Predictions On Test Images.mp4 | 140.8 MiB | 2024-Jul-08 17:30 |
| 40. Training Model On Full Dataset.srt | 19.2 KiB | 2024-Jul-08 17:30 |
| 26. Building A Deep Learning Model 2.srt | 12.5 KiB | 2024-Jul-08 17:28 |
| 26.1 Keras in TensorFlow Overview Documentation.html | 108 B | 2024-Jul-08 17:28 |
| 6. Uploading Project Data.mp4 | 52.0 MiB | 2024-Jul-08 17:26 |
| 8. Setting Up Our Data 2.srt | 2.2 KiB | 2024-Jul-08 17:25 |
| 10. Optional TensorFlow 2.0 Default Issue.srt | 28.1 MiB | 2024-Jul-08 17:19 |
| 9. Importing TensorFlow 2.srt | 16.8 KiB | 2024-Jul-08 17:17 |
| 2. Deep Learning and Unstructured Data.srt | 20.2 KiB | 2024-Jul-08 17:16 |
| 20. Turning Data Into Batches.mp4 | 87.8 MiB | 2024-Jul-08 17:16 |
| 10. Optional TensorFlow 2.0 Default Issue.mp4 | 28.1 MiB | 2024-Jul-08 17:13 |
| 29. Summarizing Our Model.srt | 6.0 KiB | 2024-Jul-08 17:09 |
| 3. Setting Up With Google.html | 568 B | 2024-Jul-08 17:09 |
| 5. Google Colab Workspace.mp4 | 39.6 MiB | 2024-Jul-08 17:07 |
| 17. Creating Our Own Validation Set.mp4 | 66.4 MiB | 2024-Jul-08 17:05 |
| 30. Evaluating Our Model.srt | 10.4 KiB | 2024-Jul-08 17:02 |
| 30.1 TensorBoard Callback Documentation.html | 134 B | 2024-Jul-08 17:02 |
| 5. Google Colab Workspace.srt | 6.3 KiB | 2024-Jul-08 17:00 |
| 5.1 Google Colab FAQ (things you should know about Google Colab).html | 110 B | 2024-Jul-08 17:00 |
| 5.2 Google Colab (our workspace for the upcoming project).html | 95 B | 2024-Jul-08 17:00 |
| 33. Evaluating Performance With TensorBoard.srt | 9.6 KiB | 2024-Jul-08 16:58 |
| 27. Building A Deep Learning Model 3.srt | 11.2 KiB | 2024-Jul-08 16:55 |
| 27.1 Step by step breakdown of a convolutional neural network (what MobileNetV2 is made of).html | 172 B | 2024-Jul-08 16:55 |
| 27.2 The Softmax Function (activation function we use in our model).html | 107 B | 2024-Jul-08 16:55 |
| 27.3 MobileNetV2 (the model we're using) architecture explanation by Sik-Ho Tsang.html | 163 B | 2024-Jul-08 16:55 |
| 42. Submitting Model to Kaggle.srt | 16.6 KiB | 2024-Jul-08 16:48 |
| 42.1 Dog Vision Predictions with MobileNetV2 Ready for Kaggle Submission.html | 180 B | 2024-Jul-08 16:48 |
| 31. Preventing Overfitting.srt | 5.5 KiB | 2024-Jul-08 16:40 |
| 31.1 Early Stopping Callback (a way to stop your model from training when it stops improving) Documentation.html | 136 B | 2024-Jul-08 16:40 |
| 1. Section Overview.mp4 | 12.2 MiB | 2024-Jul-08 15:48 |
| 1. Section Overview.srt | 2.8 KiB | 2024-Jul-08 15:48 |
| 38. Visualizing And Evaluate Model Predictions 3.srt | 13.8 KiB | 2024-Jul-08 15:42 |
| 16. Turning Data Labels Into Numbers.srt | 13.8 KiB | 2024-Jul-08 14:11 |
| 18. Preprocess Images.srt | 12.9 KiB | 2024-Jul-08 13:42 |
| 18.1 Documentation for loading images in TensorFlow.html | 114 B | 2024-Jul-08 13:42 |
| 18.2 TensorFlow guidelines for loading all kinds of data (turning your data into Tensors).html | 98 B | 2024-Jul-08 13:42 |
| 23. Preparing Our Inputs and Outputs.srt | 7.8 KiB | 2024-Jul-08 13:40 |
| 23.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html | 79 B | 2024-Jul-08 13:40 |
| 24. Optional How machines learn and what's going on behind the scenes.html | 2.7 KiB | 2024-Jul-08 13:40 |
| 19. Preprocess Images 2.srt | 12.9 KiB | 2024-Jul-08 13:36 |
| 43. Making Predictions On Our Images.srt | 18.6 KiB | 2024-Jul-08 13:30 |
| 43.1 End-to-end Dog Vision Notebook (with annotations).html | 185 B | 2024-Jul-08 13:30 |
| 43.2 End-to-end Dog Vision Notebook (from the videos).html | 191 B | 2024-Jul-08 13:30 |
| 44. Finishing Dog Vision Where to next.html | 3.9 KiB | 2024-Jul-08 13:30 |
| 41. Making Predictions On Test Images.srt | 20.3 KiB | 2024-Jul-08 13:29 |
| 41.1 Dog Vision Prediction Probabilities Array.html | 170 B | 2024-Jul-08 13:29 |
| 17. Creating Our Own Validation Set.srt | 11.3 KiB | 2024-Jul-08 13:26 |
| 17.1 Blog post by Rachel Thomas (of fast.ai) on how and why you should create a validation set.html | 108 B | 2024-Jul-08 13:26 |
| 20. Turning Data Into Batches.srt | 11.6 KiB | 2024-Jul-08 13:18 |
| 39. Saving And Loading A Trained Model.srt | 16.9 KiB | 2024-Jul-08 13:17 |
| 37. Visualizing And Evaluate Model Predictions 2.srt | 17.6 KiB | 2024-Jul-08 13:12 |
| 11. Using A GPU.srt | 12.1 KiB | 2024-Jul-08 13:12 |
| 11.1 Google Colab example GPU usage.html | 114 B | 2024-Jul-08 13:12 |
| 22. Visualizing Our Data.srt | 15.7 KiB | 2024-Jul-08 13:11 |
| 10.1 Loading TensorFlow 2.0 into a Colab Notebook (if it isn't the default).html | 129 B | 2024-Jul-08 13:02 |
| 12. Optional GPU and Google Colab.srt | 6.0 KiB | 2024-Jul-08 13:00 |
| 12.1 Introduction to Google Colab example notebook.html | 116 B | 2024-Jul-08 13:00 |
| 12.2 Google Colab Example of GPU speed up versus CPU.html | 114 B | 2024-Jul-08 13:00 |
| 13. Optional Reloading Colab Notebook.srt | 7.8 KiB | 2024-Jul-08 12:56 |
| 25. Building A Deep Learning Model.srt | 15.9 KiB | 2024-Jul-08 12:51 |
| 25.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html | 79 B | 2024-Jul-08 12:51 |
| 25.2 MobileNetV2 (the model we're using) on TensorFlow Hub.html | 132 B | 2024-Jul-08 12:51 |
| 25.3 Andrei Karpathy's talk on AI at Tesla.html | 95 B | 2024-Jul-08 12:51 |
| 25.4 Papers with Code (a great resource for some of the best machine learning papers with code examples).html | 88 B | 2024-Jul-08 12:51 |
| 25.5 PyTorch Hub (PyTorch version of TensorFlow Hub).html | 85 B | 2024-Jul-08 12:51 |
| 4.1 Google Colab (our workspace for the upcoming project).html | 95 B | 2024-Jul-08 12:47 |
| 4.2 Google Colab IO example (how to get data in and out of your Colab notebook).html | 113 B | 2024-Jul-08 12:47 |
| 4.3 Kaggle Dog Breed Identification Competition (the basis of our upcoming project).html | 119 B | 2024-Jul-08 12:47 |
| 4.4 End-to-end Dog Vision Notebook (the project we'll be working through).html | 182 B | 2024-Jul-08 12:47 |
| 4.5 Introduction to Google Colab example notebook.html | 116 B | 2024-Jul-08 12:47 |
| 6. Uploading Project Data.srt | 8.6 KiB | 2024-Jul-08 12:42 |
| 6.1 Kaggle Dog Breed Identification Competition Data.html | 115 B | 2024-Jul-08 12:42 |
| 6.2 Google Colab IO example (how to get data in and out of your Colab notebook).html | 113 B | 2024-Jul-08 12:42 |
| 21. Turning Data Into Batches 2.srt | 20.2 KiB | 2024-Jul-08 12:40 |
| 21.1 Yann LeCun's (OG of deep learning) Tweet on Batch Sizes.html | 118 B | 2024-Jul-08 12:40 |
| 35. Transform Predictions To Text.srt | 17.6 KiB | 2024-Jul-08 12:39 |
| 35.1 TensorFlow documentation for the unbatch() function.html | 127 B | 2024-Jul-08 12:39 |
| 15. Preparing The Images.srt | 15.1 KiB | 2024-Jul-08 12:34 |
| 14. Loading Our Data Labels.srt | 16.1 KiB | 2024-Jul-08 12:31 |
| 14.1 Documentation on how many images Google recommends for image problems.html | 129 B | 2024-Jul-08 12:31 |