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[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python
magnet:?xt=urn:btih:bdb8622a384a13b634bddff2a728348e3e8f4a7e&dn=[FreeCourseLab.com] Udemy - Data Science Deep Learning in Python
磁力链接详情
Hash值:
bdb8622a384a13b634bddff2a728348e3e8f4a7e
点击数:
95
文件大小:
1.44 GB
文件数量:
82
创建日期:
2019-3-5 19:41
最后访问:
2025-1-20 00:21
访问标签:
FreeCourseLab
com
Udemy
-
Data
Science
Deep
Learning
in
Python
文件列表详情
1. Welcome/1. Introduction and Outline.mp4 6.09 MB
1. Welcome/2. Where does this course fit into your deep learning studies.mp4 54.08 MB
1. Welcome/3. Where to get the code.mp4 23.37 MB
1. Welcome/4. How to Succeed in this Course.mp4 17.43 MB
10. Appendix/1. What is the Appendix.mp4 5.45 MB
10. Appendix/10. How to Uncompress a .tar.gz file.mp4 5.44 MB
10. Appendix/11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 4.02 MB
10. Appendix/12. Python 2 vs Python 3.mp4 7.84 MB
10. Appendix/13. Where does this course fit into your deep learning studies (Old Version).mp4 8.46 MB
10. Appendix/14. What order should I take your courses in (part 1).mp4 29.33 MB
10. Appendix/15. What order should I take your courses in (part 2).mp4 37.62 MB
10. Appendix/2. What's the difference between neural networks and deep learning.mp4 14.77 MB
10. Appendix/3. Windows-Focused Environment Setup 2018.mp4 186.36 MB
10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 43.92 MB
10. Appendix/5. How to Code by Yourself (part 1).mp4 24.53 MB
10. Appendix/6. How to Code by Yourself (part 2).mp4 14.8 MB
10. Appendix/7. How to Succeed in this Course (Long Version).mp4 12.99 MB
10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 38.96 MB
10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
2. Review/1. Review Section Introduction.mp4 12.54 MB
2. Review/2. What does machine learning do.mp4 25.63 MB
2. Review/3. Neuron Predictions.mp4 24.46 MB
2. Review/4. Neuron Training.mp4 38.53 MB
2. Review/5. Deep Learning Readiness Test.mp4 8.58 MB
2. Review/6. Review Section Summary.mp4 14.02 MB
3. Preliminaries From Neurons to Neural Networks/1. Neural Networks with No Math.mp4 7.35 MB
3. Preliminaries From Neurons to Neural Networks/2. Introduction to the E-Commerce Course Project.mp4 14.8 MB
4. Classifying more than 2 things at a time/1. Prediction Section Introduction and Outline.mp4 8.99 MB
4. Classifying more than 2 things at a time/10. Building an entire feedforward neural network in Python.mp4 13.87 MB
4. Classifying more than 2 things at a time/11. E-Commerce Course Project Pre-Processing the Data.mp4 11.16 MB
4. Classifying more than 2 things at a time/12. E-Commerce Course Project Making Predictions.mp4 7.59 MB
4. Classifying more than 2 things at a time/13. Prediction Quizzes.mp4 5.11 MB
4. Classifying more than 2 things at a time/14. Prediction Section Summary.mp4 2.82 MB
4. Classifying more than 2 things at a time/2. From Logistic Regression to Neural Networks.mp4 8.56 MB
4. Classifying more than 2 things at a time/3. Interpreting the Weights of a Neural Network.mp4 12.52 MB
4. Classifying more than 2 things at a time/4. Softmax.mp4 4.56 MB
4. Classifying more than 2 things at a time/5. Sigmoid vs. Softmax.mp4 2.41 MB
4. Classifying more than 2 things at a time/6. Feedforward in Slow-Mo (part 1).mp4 30.28 MB
4. Classifying more than 2 things at a time/7. Feedforward in Slow-Mo (part 2).mp4 16.69 MB
4. Classifying more than 2 things at a time/8. Where to get the code for this course.mp4 2.99 MB
4. Classifying more than 2 things at a time/9. Softmax in Code.mp4 7.78 MB
5. Training a neural network/1. Training Section Introduction and Outline.mp4 4.42 MB
5. Training a neural network/10. E-Commerce Course Project Training Logistic Regression with Softmax.mp4 20.25 MB
5. Training a neural network/11. E-Commerce Course Project Training a Neural Network.mp4 15.47 MB
5. Training a neural network/12. Training Quiz.mp4 8.32 MB
5. Training a neural network/13. Training Section Summary.mp4 4.1 MB
5. Training a neural network/2. What do all these symbols and letters mean.mp4 14.57 MB
5. Training a neural network/3. What does it mean to train a neural network.mp4 9.74 MB
5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.mp4 37.32 MB
5. Training a neural network/5. Backpropagation Intro.mp4 19.1 MB
5. Training a neural network/6. Backpropagation - what does the weight update depend on.mp4 10.13 MB
5. Training a neural network/7. Backpropagation - recursiveness.mp4 11.19 MB
5. Training a neural network/8. Backpropagation in code.mp4 46.34 MB
5. Training a neural network/9. The WRONG Way to Learn Backpropagation.mp4 6.85 MB
6. Practical Machine Learning/1. Practical Issues Section Introduction and Outline.mp4 2.73 MB
6. Practical Machine Learning/2. Donut and XOR Review.mp4 1.82 MB
6. Practical Machine Learning/3. Donut and XOR Revisited.mp4 13.96 MB
6. Practical Machine Learning/4. Neural Networks for Regression.mp4 25.38 MB
6. Practical Machine Learning/5. Common nonlinearities and their derivatives.mp4 2.39 MB
6. Practical Machine Learning/6. Practical Considerations for Choosing Activation Functions.mp4 12.37 MB
6. Practical Machine Learning/7. Hyperparameters and Cross-Validation.mp4 6.95 MB
6. Practical Machine Learning/8. Manually Choosing Learning Rate and Regularization Penalty.mp4 7.77 MB
6. Practical Machine Learning/9. Practical Issues Section Summary.mp4 9.61 MB
7. TensorFlow, exercises, practice, and what to learn next/1. TensorFlow plug-and-play example.mp4 15.9 MB
7. TensorFlow, exercises, practice, and what to learn next/2. Visualizing what a neural network has learned using TensorFlow Playground.mp4 43.25 MB
7. TensorFlow, exercises, practice, and what to learn next/3. Where to go from here.mp4 6.06 MB
7. TensorFlow, exercises, practice, and what to learn next/4. You know more than you think you know.mp4 8.23 MB
7. TensorFlow, exercises, practice, and what to learn next/5. How to get good at deep learning + exercises.mp4 9.45 MB
7. TensorFlow, exercises, practice, and what to learn next/6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp4 14.1 MB
8. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4 9.82 MB
8. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 21.43 MB
8. Project Facial Expression Recognition/3. The class imbalance problem.mp4 10.11 MB
8. Project Facial Expression Recognition/4. Utilities walkthrough.mp4 13.48 MB
8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).mp4 25.19 MB
8. Project Facial Expression Recognition/6. Facial Expression Recognition in Code (Logistic Regression Softmax).mp4 19.76 MB
8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).mp4 23.48 MB
8. Project Facial Expression Recognition/8. Facial Expression Recognition Project Summary.mp4 2.92 MB
9. Backpropagation Supplementary Lectures/1. Backpropagation Supplementary Lectures Introduction.mp4 1.73 MB
9. Backpropagation Supplementary Lectures/2. Why Learn the Ins and Outs of Backpropagation.mp4 15.63 MB
9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.mp4 22.84 MB
9. Backpropagation Supplementary Lectures/4. Help with Softmax Derivative.mp4 6.28 MB
9. Backpropagation Supplementary Lectures/5. Backpropagation with Softmax Troubleshooting.mp4 18.15 MB
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