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