Name                                                                                 Last modified      Size  
 Parent Directory                                                                                          -   
 1.1 Course Resources.html                                                            2024-07-11 10:22  122   
 14. Download the Complete Notebook Here.html                                         2024-07-11 10:22  242   
 15. Any Feedback on this Section.html                                                2024-07-11 10:22  499   
 1. What's coming up.srt                                                              2024-07-11 10:22  2.5K  
 3. Data Exploration and Understanding the Structure of the Input Data.srt            2024-07-11 10:22  6.5K  
 14.1 11 Neural Networks - TF Handwriting Recognition.ipynb.zip                       2024-07-11 10:22  6.6K  
 5. What is a Tensor.srt                                                              2024-07-11 10:22  9.0K  
 2. Getting the Data and Loading it into Numpy Arrays.srt                             2024-07-11 10:22  9.0K  
 4. Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.srt       2024-07-11 10:22   13K  
 7. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.srt       2024-07-11 10:23   14K  
 13. Prediction and Model Evaluation.srt                                              2024-07-11 10:22   19K  
 8. TensorFlow Sessions and Batching Data.srt                                         2024-07-11 10:23   20K  
 10. Understanding the Tensorflow Graph Nodes and Edges.srt                           2024-07-11 10:22   21K  
 9. Tensorboard Summaries and the Filewriter.srt                                      2024-07-11 10:23   23K  
 11. Name Scoping and Image Visualisation in Tensorboard.srt                          2024-07-11 10:22   26K  
 6. Creating Tensors and Setting up the Neural Network Architecture.srt               2024-07-11 10:23   29K  
 12. Different Model Architectures Experimenting with Dropout.srt                     2024-07-11 10:22   30K  
 1. What's coming up.mp4                                                              2024-07-11 10:22  7.1M  
 2.1 MNIST.zip                                                                        2024-07-11 10:22   15M  
 3. Data Exploration and Understanding the Structure of the Input Data.mp4            2024-07-11 10:22   32M  
 5. What is a Tensor.mp4                                                              2024-07-11 10:22   45M  
 2. Getting the Data and Loading it into Numpy Arrays.mp4                             2024-07-11 10:22   53M  
 4. Data Preprocessing One-Hot Encoding and Creating the Validation Dataset.mp4       2024-07-11 10:22   70M  
 7. Defining the Cross Entropy Loss Function, the Optimizer and the Metrics.mp4       2024-07-11 10:23   75M  
 8. TensorFlow Sessions and Batching Data.mp4                                         2024-07-11 10:23  100M  
 13. Prediction and Model Evaluation.mp4                                              2024-07-11 10:22  111M  
 10. Understanding the Tensorflow Graph Nodes and Edges.mp4                           2024-07-11 10:22  116M  
 9. Tensorboard Summaries and the Filewriter.mp4                                      2024-07-11 10:23  128M  
 6. Creating Tensors and Setting up the Neural Network Architecture.mp4               2024-07-11 10:23  151M  
 11. Name Scoping and Image Visualisation in Tensorboard.mp4                          2024-07-11 10:22  155M  
 12. Different Model Architectures Experimenting with Dropout.mp4                     2024-07-11 10:22  214M  

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