Torrent Downloads » Other » [GigaCourse com] Udemy - Deep Learning Prerequisites Logistic Regression in Python
Other
[GigaCourse com] Udemy - Deep Learning Prerequisites Logistic Regression in Python
Torrent info
Name:[GigaCourse com] Udemy - Deep Learning Prerequisites Logistic Regression in Python
Infohash: F1121C4C04E049A209C8BC475237206093946943
Total Size: 1.25 GB
Magnet: Magnet Download
Seeds: 0
Leechers: 0
Stream: Watch Full Movies @ LimeMovies
Last Updated: 2025-10-18 01:27:59 (Update Now)
Torrent added: 2020-04-28 14:31:10
Alternatives:[GigaCourse com] Udemy - Deep Learning Prerequisites Logistic Regression in Python Torrents
Torrent Files List
1. Start Here (Size: 1.25 GB) (Files: 119)
1. Start Here
1. Introduction and Outline.mp4
1. Introduction and Outline.srt
2. How to Succeed in this Course.mp4
2. How to Succeed in this Course.srt
3. Review of the classification problem.mp4
3. Review of the classification problem.srt
4. Introduction to the E-Commerce Course Project.mp4
4. Introduction to the E-Commerce Course Project.srt
5. Easy first quiz.html
2. Basics What is linear classification What's the relation to neural networks
1. Linear Classification.mp4
1. Linear Classification.srt
2. Biological inspiration - the neuron.mp4
2. Biological inspiration - the neuron.srt
3. How do we calculate the output of a neuron logistic classifier - Theory.mp4
3. How do we calculate the output of a neuron logistic classifier - Theory.srt
4. How do we calculate the output of a neuron logistic classifier - Code.mp4
4. How do we calculate the output of a neuron logistic classifier - Code.srt
5. Interpretation of Logistic Regression Output.mp4
5. Interpretation of Logistic Regression Output.srt
6. E-Commerce Course Project Pre-Processing the Data.mp4
6. E-Commerce Course Project Pre-Processing the Data.srt
7. E-Commerce Course Project Making Predictions.mp4
7. E-Commerce Course Project Making Predictions.srt
8. Feedforward Quiz.mp4
8. Feedforward Quiz.srt
9. Prediction Section Summary.mp4
9. Prediction Section Summary.srt
3. Solving for the optimal weights
1. Training Section Introduction.mp4
1. Training Section Introduction.srt
10. E-Commerce Course Project Training the Logistic Model.mp4
10. E-Commerce Course Project Training the Logistic Model.srt
11. Training Section Summary.mp4
11. Training Section Summary.srt
2. A closed-form solution to the Bayes classifier.mp4
2. A closed-form solution to the Bayes classifier.srt
3. What do all these symbols mean X, Y, N, D, L, J, P(Y=1X), etc..mp4
3. What do all these symbols mean X, Y, N, D, L, J, P(Y=1X), etc..srt
4. The cross-entropy error function - Theory.mp4
4. The cross-entropy error function - Theory.srt
5. The cross-entropy error function - Code.mp4
5. The cross-entropy error function - Code.srt
6. Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4
6. Visualizing the linear discriminant Bayes classifier Gaussian clouds.srt
7. Maximizing the likelihood.mp4
7. Maximizing the likelihood.srt
8. Updating the weights using gradient descent - Theory.mp4
8. Updating the weights using gradient descent - Theory.srt
9. Updating the weights using gradient descent - Code.mp4
9. Updating the weights using gradient descent - Code.srt
4. Practical concerns
1. Practical Section Introduction.mp4
1. Practical Section Introduction.srt
10. Why Divide by Square Root of D.mp4
10. Why Divide by Square Root of D.srt
11. Practical Section Summary.mp4
11. Practical Section Summary.srt
2. Interpreting the Weights.mp4
2. Interpreting the Weights.srt
3. L2 Regularization - Theory.mp4
3. L2 Regularization - Theory.srt
4. L2 Regularization - Code.mp4
4. L2 Regularization - Code.srt
5. L1 Regularization - Theory.mp4
5. L1 Regularization - Theory.srt
6. L1 Regularization - Code.mp4
6. L1 Regularization - Code.srt
7. L1 vs L2 Regularization.mp4
7. L1 vs L2 Regularization.srt
8. The donut problem.mp4
8. The donut problem.srt
9. The XOR problem.mp4
9. The XOR problem.srt
5. Checkpoint and applications How to make sure you know your stuff
1. BONUS Sentiment Analysis.mp4
1. BONUS Sentiment Analysis.srt
2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
2. BONUS Where to get Udemy coupons and FREE deep learning material.srt
3. BONUS Exercises + how to get good at this.mp4
3. BONUS Exercises + how to get good at this.srt
6. Project Facial Expression Recognition
1. Facial Expression Recognition Project Introduction.mp4
1. Facial Expression Recognition Project Introduction.srt
2. Facial Expression Recognition Problem Description.mp4
2. Facial Expression Recognition Problem Description.srt
3. The class imbalance problem.mp4
3. The class imbalance problem.srt
4. Utilities walkthrough.mp4
4. Utilities walkthrough.srt
5. Facial Expression Recognition in Code.mp4
5. Facial Expression Recognition in Code.srt
6. Facial Expression Recognition Project Summary.mp4
6. Facial Expression Recognition Project Summary.srt
7. Appendix FAQ
1. What is the Appendix.mp4
1. What is the Appendix.srt
10. Proof that using Jupyter Notebook is the same as not using it.mp4
10. Proof that using Jupyter Notebook is the same as not using it.srt
11. Python 2 vs Python 3.mp4
11. Python 2 vs Python 3.srt
12. What order should I take your courses in (part 1).mp4
12. What order should I take your courses in (part 1).srt
13. What order should I take your courses in (part 2).mp4
13. What order should I take your courses in (part 2).srt
14. BONUS Where to get discount coupons and FREE deep learning material.mp4
14. BONUS Where to get discount coupons and FREE deep learning material.srt
2. Gradient Descent Tutorial.mp4
2. Gradient Descent Tutorial.srt
3. Windows-Focused Environment Setup 2018.mp4
3. Windows-Focused Environment Setup 2018.srt
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
5. How to Code by Yourself (part 1).mp4
5. How to Code by Yourself (part 1).srt
6. How to Code by Yourself (part 2).mp4
6. How to Code by Yourself (part 2).srt
7. How to Uncompress a .tar.gz file.mp4
7. How to Uncompress a .tar.gz file.srt
8. How to Succeed in this Course (Long Version).mp4
8. How to Succeed in this Course (Long Version).srt
9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
Readme.txt
[GigaCourse.com].url
tracker
leech seedsTorrent description
Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information, Watch [GigaCourse com] Udemy - Deep Learning Prerequisites Logistic Regression in Python Online Free Full Movies Like 123Movies, Putlockers, Fmovies, Netflix or Download Direct via Magnet Link in Torrent Details.
related torrents
Torrent name
health leech seeds Size







