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Lecture 1: Overview of Tensorflow
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Practical Machine Learning with Tensorflow
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- 1 Lecture 1: Overview of Tensorflow
- 2 Lecture 2: Machine Learning Refresher
- 3 Lecture 3: Steps in Machine Learning Process
- 4 Lecture 4: Loss Functions in Machine Learning
- 5 Lecture 5: Gradient Descent
- 6 Lecture 6: Gradient Descent Variations
- 7 Lecture 7: Model Selection and Evaluation
- 8 Lecture 8: Machine Learning Visualization
- 9 Lecture 9: Deep Learning Refresher
- 10 Lecture 10: Introduction to Tensors
