Name Last modified Size ![[Volver]](/icons/back.gif){kind=icon}
Parent Directory -
![[VID]](/icons/movie.gif){kind=icon}
25. Building A Deep Learning Model.mp4 2024-07-08 19:05 122M
11. Using A GPU.mp4 2024-07-08 19:05 81M
15. Preparing The Images.mp4 2024-07-08 19:05 134M
9. Importing TensorFlow 2.mp4 2024-07-08 19:05 117M
35. Transform Predictions To Text.mp4 2024-07-08 19:05 130M
12. Optional GPU and Google Colab.mp4 2024-07-08 19:04 46M
34. Make And Transform Predictions.mp4 2024-07-08 19:04 155M
42. Submitting Model to Kaggle.mp4 2024-07-08 19:03 121M
37. Visualizing And Evaluate Model Predictions 2.mp4 2024-07-08 19:02 144M
26. Building A Deep Learning Model 2.mp4 2024-07-08 19:01 106M
36. Visualizing Model Predictions.mp4 2024-07-08 19:01 119M
28. Building A Deep Learning Model 4.mp4 2024-07-08 19:01 86M
14. Loading Our Data Labels.mp4 2024-07-08 19:00 115M
22. Visualizing Our Data.mp4 2024-07-08 18:59 122M
29. Summarizing Our Model.mp4 2024-07-08 18:57 45M
![[TXT]](/icons/text.gif){kind=icon}
28. Building A Deep Learning Model 4.srt 2024-07-08 18:57 12K
28.1 [Article] How to choose loss & activation functions when building a deep learning model.html 2024-07-08 18:57 169
4. Setting Up Google Colab.mp4 2024-07-08 18:57 74M
21. Turning Data Into Batches 2.mp4 2024-07-08 18:57 149M
19. Preprocess Images 2.mp4 2024-07-08 18:55 105M
16. Turning Data Labels Into Numbers.mp4 2024-07-08 18:55 107M
40. Training Model On Full Dataset.mp4 2024-07-08 18:54 140M
43. Making Predictions On Our Images.mp4 2024-07-08 18:54 119M
2. Deep Learning and Unstructured Data.mp4 2024-07-08 18:52 102M
38. Visualizing And Evaluate Model Predictions 3.mp4 2024-07-08 18:52 113M
8. Setting Up Our Data 2.mp4 2024-07-08 18:51 21M
7. Setting Up Our Data.srt 2024-07-08 18:51 6.4K
7. Setting Up Our Data.mp4 2024-07-08 18:51 42M
18. Preprocess Images.mp4 2024-07-08 18:49 90M
27. Building A Deep Learning Model 3.mp4 2024-07-08 18:48 106M
33. Evaluating Performance With TensorBoard.mp4 2024-07-08 18:44 74M
![[ ]](/icons/unknown.gif){kind=icon}
4. Setting Up Google Colab.srt 2024-07-08 18:44 74M
31. Preventing Overfitting.mp4 2024-07-08 18:44 37M
23. Preparing Our Inputs and Outputs.mp4 2024-07-08 18:44 50M
32. Training Your Deep Neural Network.mp4 2024-07-08 18:42 167M
34. Make And Transform Predictions.srt 2024-07-08 18:40 19K
13. Optional Reloading Colab Notebook.mp4 2024-07-08 18:39 89M
39. Saving And Loading A Trained Model.mp4 2024-07-08 18:36 127M
32. Training Your Deep Neural Network.srt 2024-07-08 18:35 23K
36. Visualizing Model Predictions.srt 2024-07-08 18:31 17K
30. Evaluating Our Model.mp4 2024-07-08 18:31 79M
41. Making Predictions On Test Images.mp4 2024-07-08 18:30 141M
40. Training Model On Full Dataset.srt 2024-07-08 18:30 19K
26. Building A Deep Learning Model 2.srt 2024-07-08 18:28 13K
26.1 Keras in TensorFlow Overview Documentation.html 2024-07-08 18:28 108
6. Uploading Project Data.mp4 2024-07-08 18:26 52M
8. Setting Up Our Data 2.srt 2024-07-08 18:25 2.2K
10. Optional TensorFlow 2.0 Default Issue.srt 2024-07-08 18:19 28M
9. Importing TensorFlow 2.srt 2024-07-08 18:17 17K
20. Turning Data Into Batches.mp4 2024-07-08 18:16 88M
2. Deep Learning and Unstructured Data.srt 2024-07-08 18:16 20K
10. Optional TensorFlow 2.0 Default Issue.mp4 2024-07-08 18:13 28M
29. Summarizing Our Model.srt 2024-07-08 18:09 6.0K
3. Setting Up With Google.html 2024-07-08 18:09 568
5. Google Colab Workspace.mp4 2024-07-08 18:07 40M
17. Creating Our Own Validation Set.mp4 2024-07-08 18:05 66M
30. Evaluating Our Model.srt 2024-07-08 18:02 10K
30.1 TensorBoard Callback Documentation.html 2024-07-08 18:02 134
5. Google Colab Workspace.srt 2024-07-08 18:00 6.3K
5.2 Google Colab (our workspace for the upcoming project).html 2024-07-08 18:00 95
5.1 Google Colab FAQ (things you should know about Google Colab).html 2024-07-08 18:00 110
33. Evaluating Performance With TensorBoard.srt 2024-07-08 17:58 9.6K
27. Building A Deep Learning Model 3.srt 2024-07-08 17:55 11K
27.3 MobileNetV2 (the model we're using) architecture explanation by Sik-Ho Tsang.html 2024-07-08 17:55 163
27.2 The Softmax Function (activation function we use in our model).html 2024-07-08 17:55 107
27.1 Step by step breakdown of a convolutional neural network (what MobileNetV2 is made of).html 2024-07-08 17:55 172
42. Submitting Model to Kaggle.srt 2024-07-08 17:48 17K
42.1 Dog Vision Predictions with MobileNetV2 Ready for Kaggle Submission.html 2024-07-08 17:48 180
31. Preventing Overfitting.srt 2024-07-08 17:40 5.5K
31.1 Early Stopping Callback (a way to stop your model from training when it stops improving) Documentation.html 2024-07-08 17:40 136
1. Section Overview.srt 2024-07-08 16:48 2.8K
1. Section Overview.mp4 2024-07-08 16:48 12M
38. Visualizing And Evaluate Model Predictions 3.srt 2024-07-08 16:42 14K
16. Turning Data Labels Into Numbers.srt 2024-07-08 15:11 14K
18. Preprocess Images.srt 2024-07-08 14:42 13K
18.2 TensorFlow guidelines for loading all kinds of data (turning your data into Tensors).html 2024-07-08 14:42 98
18.1 Documentation for loading images in TensorFlow.html 2024-07-08 14:42 114
24. Optional How machines learn and what's going on behind the scenes.html 2024-07-08 14:40 2.7K
23. Preparing Our Inputs and Outputs.srt 2024-07-08 14:40 7.8K
23.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html 2024-07-08 14:40 79
19. Preprocess Images 2.srt 2024-07-08 14:36 13K
44. Finishing Dog Vision Where to next.html 2024-07-08 14:30 3.9K
43. Making Predictions On Our Images.srt 2024-07-08 14:30 19K
43.2 End-to-end Dog Vision Notebook (from the videos).html 2024-07-08 14:30 191
43.1 End-to-end Dog Vision Notebook (with annotations).html 2024-07-08 14:30 185
41. Making Predictions On Test Images.srt 2024-07-08 14:29 20K
41.1 Dog Vision Prediction Probabilities Array.html 2024-07-08 14:29 170
17. Creating Our Own Validation Set.srt 2024-07-08 14:26 11K
17.1 Blog post by Rachel Thomas (of fast.ai) on how and why you should create a validation set.html 2024-07-08 14:26 108
20. Turning Data Into Batches.srt 2024-07-08 14:18 12K
39. Saving And Loading A Trained Model.srt 2024-07-08 14:17 17K
37. Visualizing And Evaluate Model Predictions 2.srt 2024-07-08 14:12 18K
11. Using A GPU.srt 2024-07-08 14:12 12K
11.1 Google Colab example GPU usage.html 2024-07-08 14:12 114
22. Visualizing Our Data.srt 2024-07-08 14:11 16K
10.1 Loading TensorFlow 2.0 into a Colab Notebook (if it isn't the default).html 2024-07-08 14:02 129
12. Optional GPU and Google Colab.srt 2024-07-08 14:00 6.0K
12.2 Google Colab Example of GPU speed up versus CPU.html 2024-07-08 14:00 114
12.1 Introduction to Google Colab example notebook.html 2024-07-08 14:00 116
13. Optional Reloading Colab Notebook.srt 2024-07-08 13:56 7.8K
25. Building A Deep Learning Model.srt 2024-07-08 13:51 16K
25.5 PyTorch Hub (PyTorch version of TensorFlow Hub).html 2024-07-08 13:51 85
25.4 Papers with Code (a great resource for some of the best machine learning papers with code examples).html 2024-07-08 13:51 88
25.3 Andrei Karpathy's talk on AI at Tesla.html 2024-07-08 13:51 95
25.2 MobileNetV2 (the model we're using) on TensorFlow Hub.html 2024-07-08 13:51 132
25.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html 2024-07-08 13:51 79
4.5 Introduction to Google Colab example notebook.html 2024-07-08 13:47 116
4.4 End-to-end Dog Vision Notebook (the project we'll be working through).html 2024-07-08 13:47 182
4.3 Kaggle Dog Breed Identification Competition (the basis of our upcoming project).html 2024-07-08 13:47 119
4.2 Google Colab IO example (how to get data in and out of your Colab notebook).html 2024-07-08 13:47 113
4.1 Google Colab (our workspace for the upcoming project).html 2024-07-08 13:47 95
6. Uploading Project Data.srt 2024-07-08 13:42 8.6K
6.2 Google Colab IO example (how to get data in and out of your Colab notebook).html 2024-07-08 13:42 113
6.1 Kaggle Dog Breed Identification Competition Data.html 2024-07-08 13:42 115
21. Turning Data Into Batches 2.srt 2024-07-08 13:40 20K
21.1 Yann LeCun's (OG of deep learning) Tweet on Batch Sizes.html 2024-07-08 13:40 118
35. Transform Predictions To Text.srt 2024-07-08 13:39 18K
35.1 TensorFlow documentation for the unbatch() function.html 2024-07-08 13:39 127
15. Preparing The Images.srt 2024-07-08 13:34 15K
14. Loading Our Data Labels.srt 2024-07-08 13:31 16K
14.1 Documentation on how many images Google recommends for image problems.html 2024-07-08 13:31 129