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