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Udemy - Deep Learning Prerequisites Logistic Regre...
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Udemy - Deep Learning Prerequisites Logistic Regression in Python [Updated 03/2020] Torrent content (File list)
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1. Start Here/1. Introduction and Outline.mp4 46.9 MB |
1. Start Here/1. Introduction and Outline.srt 5.3 KB |
1. Start Here/2. How to Succeed in this Course.mp4 6.4 MB |
1. Start Here/2. How to Succeed in this Course.srt 4.0 KB |
1. Start Here/3. Review of the classification problem.mp4 3.0 MB |
1. Start Here/3. Review of the classification problem.srt 2.2 KB |
1. Start Here/4. Introduction to the E-Commerce Course Project.mp4 14.8 MB |
1. Start Here/4. Introduction to the E-Commerce Course Project.srt 7.6 MB |
1. Start Here/5. Easy first quiz.html 0.1 KB |
2. Basics What is linear classification What's the relation to neural networks/1. Linear Classification.mp4 7.6 MB |
2. Basics What is linear classification What's the relation to neural networks/1. Linear Classification.srt 5.2 KB |
2. Basics What is linear classification What's the relation to neural networks/2. Biological inspiration - the neuron.mp4 9.4 MB |
2. Basics What is linear classification What's the relation to neural networks/2. Biological inspiration - the neuron.srt 4.4 KB |
2. Basics What is linear classification What's the relation to neural networks/3. How do we calculate the output of a neuron logistic classifier - Theory.mp4 15.2 MB |
2. Basics What is linear classification What's the relation to neural networks/3. How do we calculate the output of a neuron logistic classifier - Theory.srt 80.2 MB |
2. Basics What is linear classification What's the relation to neural networks/4. How do we calculate the output of a neuron logistic classifier - Code.mp4 5.8 MB |
2. Basics What is linear classification What's the relation to neural networks/4. How do we calculate the output of a neuron logistic classifier - Code.srt 4.5 KB |
2. Basics What is linear classification What's the relation to neural networks/5. Interpretation of Logistic Regression Output.mp4 27.9 MB |
2. Basics What is linear classification What's the relation to neural networks/5. Interpretation of Logistic Regression Output.srt 6.4 KB |
2. Basics What is linear classification What's the relation to neural networks/6. E-Commerce Course Project Pre-Processing the Data.mp4 11.2 MB |
2. Basics What is linear classification What's the relation to neural networks/6. E-Commerce Course Project Pre-Processing the Data.srt 5.1 KB |
2. Basics What is linear classification What's the relation to neural networks/7. E-Commerce Course Project Making Predictions.mp4 5.7 MB |
2. Basics What is linear classification What's the relation to neural networks/7. E-Commerce Course Project Making Predictions.srt 3.0 KB |
2. Basics What is linear classification What's the relation to neural networks/8. Feedforward Quiz.mp4 2.3 MB |
2. Basics What is linear classification What's the relation to neural networks/8. Feedforward Quiz.srt 1.7 KB |
2. Basics What is linear classification What's the relation to neural networks/9. Prediction Section Summary.mp4 2.2 MB |
2. Basics What is linear classification What's the relation to neural networks/9. Prediction Section Summary.srt 1.5 KB |
3. Solving for the optimal weights/1. Training Section Introduction.mp4 2.8 MB |
3. Solving for the optimal weights/1. Training Section Introduction.srt 2.0 KB |
3. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.mp4 17.1 MB |
3. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.srt 5.3 KB |
3. Solving for the optimal weights/11. Training Section Summary.mp4 3.4 MB |
3. Solving for the optimal weights/11. Training Section Summary.srt 2.6 KB |
3. Solving for the optimal weights/2. A closed-form solution to the Bayes classifier.mp4 9.1 MB |
3. Solving for the optimal weights/2. A closed-form solution to the Bayes classifier.srt 7.3 KB |
3. Solving for the optimal weights/3. What do all these symbols mean X, Y, N, D, L, J, P(Y=1X), etc..mp4 6.4 MB |
3. Solving for the optimal weights/3. What do all these symbols mean X, Y, N, D, L, J, P(Y=1X), etc..srt 5.2 KB |
3. Solving for the optimal weights/4. The cross-entropy error function - Theory.mp4 4.5 MB |
3. Solving for the optimal weights/4. The cross-entropy error function - Theory.srt 4.4 KB |
3. Solving for the optimal weights/5. The cross-entropy error function - Code.mp4 9.1 MB |
3. Solving for the optimal weights/5. The cross-entropy error function - Code.srt 3.9 KB |
3. Solving for the optimal weights/6. Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4 5.3 MB |
3. Solving for the optimal weights/6. Visualizing the linear discriminant Bayes classifier Gaussian clouds.srt 2.3 KB |
3. Solving for the optimal weights/7. Maximizing the likelihood.mp4 25.2 MB |
3. Solving for the optimal weights/7. Maximizing the likelihood.srt 4.0 KB |
3. Solving for the optimal weights/8. Updating the weights using gradient descent - Theory.mp4 9.3 MB |
3. Solving for the optimal weights/8. Updating the weights using gradient descent - Theory.srt 8.1 KB |
3. Solving for the optimal weights/9. Updating the weights using gradient descent - Code.mp4 7.3 MB |
3. Solving for the optimal weights/9. Updating the weights using gradient descent - Code.srt 2.5 KB |
4. Practical concerns/1. Practical Section Introduction.mp4 4.7 MB |
4. Practical concerns/1. Practical Section Introduction.srt 3.5 KB |
4. Practical concerns/10. Why Divide by Square Root of D.mp4 23.5 MB |
4. Practical concerns/10. Why Divide by Square Root of D.srt 8.7 KB |
4. Practical concerns/11. Practical Section Summary.mp4 3.4 MB |
4. Practical concerns/11. Practical Section Summary.srt 78.3 MB |
4. Practical concerns/2. Interpreting the Weights.mp4 6.3 MB |
4. Practical concerns/2. Interpreting the Weights.srt 4.7 KB |
4. Practical concerns/3. L2 Regularization - Theory.mp4 14.7 MB |
4. Practical concerns/3. L2 Regularization - Theory.srt 11.5 KB |
4. Practical concerns/4. L2 Regularization - Code.mp4 4.5 MB |
4. Practical concerns/4. L2 Regularization - Code.srt 1.6 KB |
4. Practical concerns/5. L1 Regularization - Theory.mp4 4.4 MB |
4. Practical concerns/5. L1 Regularization - Theory.srt 14.9 MB |
4. Practical concerns/6. L1 Regularization - Code.mp4 12.0 MB |
4. Practical concerns/6. L1 Regularization - Code.srt 4.6 KB |
4. Practical concerns/7. L1 vs L2 Regularization.mp4 4.8 MB |
4. Practical concerns/7. L1 vs L2 Regularization.srt 4.3 KB |
4. Practical concerns/8. The donut problem.mp4 24.7 MB |
4. Practical concerns/8. The donut problem.srt 7.4 KB |
4. Practical concerns/9. The XOR problem.mp4 14.2 MB |
4. Practical concerns/9. The XOR problem.srt 6.1 KB |
5. Checkpoint and applications How to make sure you know your stuff/1. BONUS Sentiment Analysis.mp4 11.4 MB |
5. Checkpoint and applications How to make sure you know your stuff/1. BONUS Sentiment Analysis.srt 6.4 KB |
5. Checkpoint and applications How to make sure you know your stuff/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4.0 MB |
5. Checkpoint and applications How to make sure you know your stuff/2. BONUS Where to get Udemy coupons and FREE deep learning material.srt 3.4 KB |
5. Checkpoint and applications How to make sure you know your stuff/3. BONUS Exercises + how to get good at this.mp4 5.3 MB |
5. Checkpoint and applications How to make sure you know your stuff/3. BONUS Exercises + how to get good at this.srt 3.8 KB |
6. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 9.8 MB |
6. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.srt 6.5 KB |
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 21.4 MB |
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.srt 16.0 KB |
6. Project Facial Expression Recognition/3. The class imbalance problem.mp4 10.1 MB |
6. Project Facial Expression Recognition/3. The class imbalance problem.srt 8.0 KB |
6. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 13.5 MB |
6. Project Facial Expression Recognition/4. Utilities walkthrough.srt 5.8 KB |
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 24.0 MB |
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.srt 8.1 KB |
6. Project Facial Expression Recognition/6. Facial Expression Recognition Project Summary.mp4 2.9 MB |
6. Project Facial Expression Recognition/6. Facial Expression Recognition Project Summary.srt 1.7 KB |
7. Appendix FAQ/1. What is the Appendix.mp4 5.5 MB |
7. Appendix FAQ/1. What is the Appendix.srt 3.8 KB |
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB |
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.srt 78.3 MB |
7. Appendix FAQ/11. Python 2 vs Python 3.mp4 7.8 MB |
7. Appendix FAQ/11. Python 2 vs Python 3.srt 6.6 KB |
7. Appendix FAQ/12. What order should I take your courses in (part 1).mp4 29.3 MB |
7. Appendix FAQ/12. What order should I take your courses in (part 1).srt 17.1 KB |
7. Appendix FAQ/13. What order should I take your courses in (part 2).mp4 37.6 MB |
7. Appendix FAQ/13. What order should I take your courses in (part 2).srt 25.1 KB |
7. Appendix FAQ/14. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.8 MB |
7. Appendix FAQ/14. BONUS Where to get discount coupons and FREE deep learning material.srt 8.4 KB |
7. Appendix FAQ/2. Gradient Descent Tutorial.mp4 22.8 MB |
7. Appendix FAQ/2. Gradient Descent Tutorial.srt 5.9 KB |
7. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 186.3 MB |
7. Appendix FAQ/3. Windows-Focused Environment Setup 2018.srt 21.6 KB |
7. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.9 MB |
7. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 15.5 KB |
7. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 24.5 MB |
7. Appendix FAQ/5. How to Code by Yourself (part 1).srt 24.3 KB |
7. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 14.8 MB |
7. Appendix FAQ/6. How to Code by Yourself (part 2).srt 14.0 KB |
7. Appendix FAQ/7. How to Uncompress a .tar.gz file.mp4 5.4 MB |
7. Appendix FAQ/7. How to Uncompress a .tar.gz file.srt 4.4 KB |
7. Appendix FAQ/8. How to Succeed in this Course (Long Version).mp4 13.0 MB |
7. Appendix FAQ/8. How to Succeed in this Course (Long Version).srt 15.5 KB |
7. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.0 MB |
7. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 33.9 KB |
Readme.txt 0.9 KB |
[GigaCourse.com].url 0.0 KB |
- Torrent indexed: 5 years
- Torrent updated: Tuesday 28th of April 2020 10:00:01 AM
- Torrent hash: F1121C4C04E049A209C8BC475237206093946943
- Torrent size: 1.3 GB
- Torrent category: Other

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