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AI_DL_Assignment / 6. Neural Networks Explained

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1. Neural Networks Chapter Overview.mp4
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1. Neural Networks Chapter Overview.srt
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10. Epochs, Iterations and Batch Sizes.mp4
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10. Epochs, Iterations and Batch Sizes.srt
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11. Measuring Performance and the Confusion Matrix.mp4
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11. Measuring Performance and the Confusion Matrix.srt
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12. Review and Best Practices.mp4
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12. Review and Best Practices.srt
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2. Machine Learning Overview.mp4
54.8 MB
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2. Machine Learning Overview.srt
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3. Neural Networks Explained.mp4
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3. Neural Networks Explained.srt
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4. Forward Propagation.mp4
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4. Forward Propagation.srt
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5. Activation Functions.mp4
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5. Activation Functions.srt
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6. Training Part 1 – Loss Functions.mp4
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6. Training Part 1 – Loss Functions.srt
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7. Training Part 2 – Backpropagation and Gradient Descent.mp4
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7. Training Part 2 – Backpropagation and Gradient Descent.srt
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8. Backpropagation & Learning Rates – A Worked Example.mp4
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8. Backpropagation & Learning Rates – A Worked Example.srt
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9. Regularization, Overfitting, Generalization and Test Datasets.mp4
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9. Regularization, Overfitting, Generalization and Test Datasets.srt
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