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tensorflow-building-regression-models.zip

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tensorflow-building-regression-models.zip
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31 - Course Summary.mp4
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30 - Extending Estimators with Custom Models.mp4
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29 - Logistic Regression with Estimators.mp4
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28 - Linear Regression with Estimators.mp4
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27 - How Estimators Work.mp4
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26 - Calculating Accuracy.mp4
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25 - Implementing Linear Classification in TensorFlow.mp4
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24 - Cross Entropy.mp4
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23 - The Implications of Using Softmax Activation.mp4
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22 - Logistic Regression in TensorFlow.mp4
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21 - A Baseline Implementation.mp4
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20 - Logistic Regression and Linear Regression.mp4
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19 - The Intuition Behind Logistic Regression.mp4
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18 - Implementing Multiple Regression.mp4
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17 - Implementing Batch Gradient Descent in TensorFlow.mp4
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16 - Instrumenting and Using TensorBoard.mp4
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15 - Implementing Stochastic Gradient Descent in TensorFlow.mp4
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14 - Understanding Gradient Descent.mp4
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13 - A Baseline Implementation.mp4
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