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[Volver] Parent Directory - [TXT] 1.1 Course Resources.html 122 [VID] 1. Solving a Business Problem with Image Classification.mp4 31M [TXT] 1. Solving a Business Problem with Image Classification.srt 5.0K [VID] 2. Installing Tensorflow and Keras for Jupyter.mp4 42M [TXT] 2. Installing Tensorflow and Keras for Jupyter.srt 6.4K [VID] 3. Gathering the CIFAR 10 Dataset.mp4 31M [TXT] 3. Gathering the CIFAR 10 Dataset.srt 6.1K [VID] 4. Exploring the CIFAR Data.mp4 110M [TXT] 4. Exploring the CIFAR Data.srt 18K [VID] 5. Pre-processing Scaling Inputs and Creating a Validation Dataset.mp4 93M [TXT] 5. Pre-processing Scaling Inputs and Creating a Validation Dataset.srt 20K [VID] 6. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.mp4 104M [TXT] 6. Compiling a Keras Model and Understanding the Cross Entropy Loss Function.srt 19K [VID] 7. Interacting with the Operating System and the Python Try-Catch Block.mp4 133M [TXT] 7. Interacting with the Operating System and the Python Try-Catch Block.srt 24K [VID] 8. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.mp4 100M [TXT] 8. Fit a Keras Model and Use Tensorboard to Visualise Learning and Spot Problems.srt 14K [VID] 9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 192M [TXT] 9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.srt 28K [VID] 10. Use the Model to Make Predictions.mp4 218M [TXT] 10. Use the Model to Make Predictions.srt 33K [VID] 11. Model Evaluation and the Confusion Matrix.mp4 63M [TXT] 11. Model Evaluation and the Confusion Matrix.srt 11K [VID] 12. Model Evaluation and the Confusion Matrix.mp4 252M [TXT] 12. Model Evaluation and the Confusion Matrix.srt 40K [Fichero comrpimido] 13.1 10 Neural Nets - Keras CIFAR10 Classification.ipynb.zip 120K [TXT] 13. Download the Complete Notebook Here.html 242 [TXT] 14. Any Feedback on this Section.html 521