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