Name                                                                                 Size  
 Parent Directory                                                                       -   
 12. Model Evaluation and the Confusion Matrix.mp4                                    252M  
 10. Use the Model to Make Predictions.mp4                                            218M  
 9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 192M  
 7. Interacting with the Operating System and the Python Try-Catch Block.mp4          133M  
 4. Exploring the CIFAR Data.mp4                                                      110M  
 6. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4     104M  
 8. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4 100M  
 5. Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4                93M  
 11. Model Evaluation and the Confusion Matrix.mp4                                     63M  
 2. Installing Tensorflow and Keras for Jupyter.mp4                                    42M  
 3. Gathering the CIFAR 10 Dataset.mp4                                                 31M  
 1. Solving a Business Problem with Image Classification.mp4                           31M  
 13.1 10 Neural Nets - Keras CIFAR10 Classification.ipynb.zip                         120K  
 12. Model Evaluation and the Confusion Matrix.srt                                     40K  
 10. Use the Model to Make Predictions.srt                                             33K  
 9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.srt  28K  
 7. Interacting with the Operating System and the Python Try-Catch Block.srt           24K  
 5. Pre-processing Scaling Inputs and Creating a Validation Dataset.srt                20K  
 6. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.srt      19K  
 4. Exploring the CIFAR Data.srt                                                       18K  
 8. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.srt  14K  
 11. Model Evaluation and the Confusion Matrix.srt                                     11K  
 2. Installing Tensorflow and Keras for Jupyter.srt                                   6.4K  
 3. Gathering the CIFAR 10 Dataset.srt                                                6.1K  
 1. Solving a Business Problem with Image Classification.srt                          5.0K  
 14. Any Feedback on this Section.html                                                521   
 13. Download the Complete Notebook Here.html                                         242   
 1.1 Course Resources.html                                                            122