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[GigaCourse.com] Udemy - Deep Learning Prerequisites Logistic Regression in Python
magnet:?xt=urn:btih:f1121c4c04e049a209c8bc475237206093946943&dn=[GigaCourse.com] Udemy - Deep Learning Prerequisites Logistic Regression in Python
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文件列表详情
f1121c4c04e049a209c8bc475237206093946943
infohash:
58
文件数量
1023.64 MB
文件大小
2021-5-2 05:49
创建日期
2024-6-29 17:02
最后访问
相关分词
GigaCourse
com
Udemy
-
Deep
Learning
Prerequisites
Logistic
Regression
in
Python
1. Start Here/1. Introduction and Outline.mp4 46.92 MB
1. Start Here/2. How to Succeed in this Course.mp4 6.41 MB
1. Start Here/3. Review of the classification problem.mp4 2.97 MB
1. Start Here/4. Introduction to the E-Commerce Course Project.mp4 14.79 MB
2. Basics What is linear classification What's the relation to neural networks/1. Linear Classification.mp4 7.55 MB
2. Basics What is linear classification What's the relation to neural networks/2. Biological inspiration - the neuron.mp4 9.39 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.mp4 15.22 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 5.82 MB
2. Basics What is linear classification What's the relation to neural networks/5. Interpretation of Logistic Regression Output.mp4 27.89 MB
2. Basics What is linear classification What's the relation to neural networks/6. E-Commerce Course Project Pre-Processing the Data.mp4 11.17 MB
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/8. Feedforward Quiz.mp4 2.27 MB
2. Basics What is linear classification What's the relation to neural networks/9. Prediction Section Summary.mp4 2.22 MB
3. Solving for the optimal weights/1. Training Section Introduction.mp4 2.81 MB
3. Solving for the optimal weights/10. E-Commerce Course Project Training the Logistic Model.mp4 17.06 MB
3. Solving for the optimal weights/11. Training Section Summary.mp4 3.39 MB
3. Solving for the optimal weights/2. A closed-form solution to the Bayes classifier.mp4 9.11 MB
3. Solving for the optimal weights/3. What do all these symbols mean X, Y, N, D, L, J, P(Y=1X), etc..mp4 6.37 MB
3. Solving for the optimal weights/4. The cross-entropy error function - Theory.mp4 4.5 MB
3. Solving for the optimal weights/5. The cross-entropy error function - Code.mp4 9.1 MB
3. Solving for the optimal weights/6. Visualizing the linear discriminant Bayes classifier Gaussian clouds.mp4 5.27 MB
3. Solving for the optimal weights/7. Maximizing the likelihood.mp4 25.22 MB
3. Solving for the optimal weights/8. Updating the weights using gradient descent - Theory.mp4 9.35 MB
3. Solving for the optimal weights/9. Updating the weights using gradient descent - Code.mp4 7.26 MB
4. Practical concerns/1. Practical Section Introduction.mp4 4.73 MB
4. Practical concerns/10. Why Divide by Square Root of D.mp4 23.48 MB
4. Practical concerns/11. Practical Section Summary.mp4 3.41 MB
4. Practical concerns/2. Interpreting the Weights.mp4 6.34 MB
4. Practical concerns/3. L2 Regularization - Theory.mp4 14.7 MB
4. Practical concerns/4. L2 Regularization - Code.mp4 4.47 MB
4. Practical concerns/5. L1 Regularization - Theory.mp4 4.42 MB
4. Practical concerns/6. L1 Regularization - Code.mp4 12.01 MB
4. Practical concerns/7. L1 vs L2 Regularization.mp4 4.8 MB
4. Practical concerns/8. The donut problem.mp4 24.69 MB
4. Practical concerns/9. The XOR problem.mp4 14.21 MB
5. Checkpoint and applications How to make sure you know your stuff/1. BONUS Sentiment Analysis.mp4 11.41 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.mp4 4.03 MB
5. Checkpoint and applications How to make sure you know your stuff/3. BONUS Exercises + how to get good at this.mp4 5.26 MB
6. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 9.82 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 21.44 MB
6. Project Facial Expression Recognition/3. The class imbalance problem.mp4 10.11 MB
6. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 13.49 MB
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 24.05 MB
6. Project Facial Expression Recognition/6. Facial Expression Recognition Project Summary.mp4 2.92 MB
7. Appendix FAQ/1. What is the Appendix.mp4 5.45 MB
7. Appendix FAQ/10. Proof that using Jupyter Notebook is the same as not using it.mp4 78.28 MB
7. Appendix FAQ/11. Python 2 vs Python 3.mp4 7.84 MB
7. Appendix FAQ/12. What order should I take your courses in (part 1).mp4 29.32 MB
7. Appendix FAQ/13. What order should I take your courses in (part 2).mp4 37.62 MB
7. Appendix FAQ/14. BONUS Where to get discount coupons and FREE deep learning material.mp4 37.83 MB
7. Appendix FAQ/2. Gradient Descent Tutorial.mp4 22.82 MB
7. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 186.28 MB
7. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
7. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 24.53 MB
7. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 14.8 MB
7. Appendix FAQ/7. How to Uncompress a .tar.gz file.mp4 5.43 MB
7. Appendix FAQ/8. How to Succeed in this Course (Long Version).mp4 12.99 MB
7. Appendix FAQ/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
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