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