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