[GigaCourse com] Udemy Deep Learning Prerequisites Logistic Regression in Python
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[GigaCourse com] Udemy Deep Learning Prerequisites Logistic Regression in Python
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Torrent File Content (119 files)
[GigaCourse.com] Udemy - Deep Learning Prerequisites Logistic Regression in Python
1. Start Here
1. Introduction and Outline.mp4 -
1. Start Here
1. Introduction and Outline.mp4 -
46.92 MB
1. Introduction and Outline.srt -
5.31 KB
2. How to Succeed in this Course.mp4 -
6.41 MB
2. How to Succeed in this Course.srt -
4.04 KB
3. Review of the classification problem.mp4 -
2.97 MB
3. Review of the classification problem.srt -
2.22 KB
4. Introduction to the E-Commerce Course Project.mp4 -
14.79 MB
4. Introduction to the E-Commerce Course Project.srt -
7.63 MB
5. Easy first quiz.html -
152 bytes
2. Basics What is linear classification What's the relation to neural networks
1. Linear Classification.mp4 -
1. Linear Classification.mp4 -
7.55 MB
1. Linear Classification.srt -
5.17 KB
2. Biological inspiration - the neuron.mp4 -
9.39 MB
2. Biological inspiration - the neuron.srt -
4.37 KB
3. How do we calculate the output of a neuron logistic classifier - Theory.mp4 -
15.22 MB
3. How do we calculate the output of a neuron logistic classifier - Theory.srt -
80.18 MB
4. How do we calculate the output of a neuron logistic classifier - Code.mp4 -
5.82 MB
4. How do we calculate the output of a neuron logistic classifier - Code.srt -
4.49 KB
5. Interpretation of Logistic Regression Output.mp4 -
27.89 MB
5. Interpretation of Logistic Regression Output.srt -
6.38 KB
6. E-Commerce Course Project Pre-Processing the Data.mp4 -
11.17 MB
6. E-Commerce Course Project Pre-Processing the Data.srt -
5.13 KB
7. E-Commerce Course Project Making Predictions.mp4 -
5.7 MB
7. E-Commerce Course Project Making Predictions.srt -
3 KB
8. Feedforward Quiz.mp4 -
2.27 MB
8. Feedforward Quiz.srt -
1.69 KB
9. Prediction Section Summary.mp4 -
2.22 MB
9. Prediction Section Summary.srt -
1.47 KB
3. Solving for the optimal weights
1. Training Section Introduction.mp4 -
1. Training Section Introduction.mp4 -
2.81 MB
1. Training Section Introduction.srt -
2.05 KB
10. E-Commerce Course Project Training the Logistic Model.mp4 -
17.06 MB
10. E-Commerce Course Project Training the Logistic Model.srt -
5.26 KB
11. Training Section Summary.mp4 -
3.39 MB
11. Training Section Summary.srt -
2.59 KB
2. A closed-form solution to the Bayes classifier.mp4 -
9.11 MB
2. A closed-form solution to the Bayes classifier.srt -
7.33 KB
3. What do all these symbols mean X, Y, N, D, L, J, P(Y=1X), etc..mp4 -
6.37 MB
3. What do all these symbols mean X, Y, N, D, L, J, P(Y=1X), etc..srt -
5.21 KB
4. The cross-entropy error function - Theory.mp4 -
4.5 MB
4. The cross-entropy error function - Theory.srt -
4.39 KB
5. The cross-entropy error function - Code.mp4 -
9.1 MB
5. The cross-entropy error function - Code.srt -
3.94 KB
6. Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4 -
5.27 MB
6. Visualizing the linear discriminant Bayes classifier Gaussian clouds.srt -
2.29 KB
7. Maximizing the likelihood.mp4 -
25.22 MB
7. Maximizing the likelihood.srt -
3.96 KB
8. Updating the weights using gradient descent - Theory.mp4 -
9.35 MB
8. Updating the weights using gradient descent - Theory.srt -
8.15 KB
9. Updating the weights using gradient descent - Code.mp4 -
7.26 MB
9. Updating the weights using gradient descent - Code.srt -
2.49 KB
4. Practical concerns
1. Practical Section Introduction.mp4 -
1. Practical Section Introduction.mp4 -
4.73 MB
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