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