PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\[365 Data Science] Programming for Data Science\17. Deep Learning with TensorFlow 2.0\2. Neural networks Intro | ||
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 9. L2-norm loss.mp4 | ||
| 8. The objective function.mp4 | ||
| 7. Graphical representation.mp4 | ||
| 6. The linear model. Multiple inputs and multiple outputs.mp4 | ||
| 5. The linear model. Multiple inputs..mp4 | ||
| 4. The linear model.mp4 | ||
| 3. Types of machine learning.mp4 | ||
| 2. Training the model.mp4 | ||
| 12. N-parameter gradient descent.mp4 | ||
| 11. One-parameter gradient descent.mp4 | ||
| 10. Cross-entropy loss.mp4 | ||
| 1. Introduction to neural networks.mp4 | ||