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