Udemy - Data Science Deep Learning in Python

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name:	Udemy - Data Science Deep Learning in Python
说明: This course will get you started in building your FIRST artificial neural network using deep learningtechniques. Following my previous course on logistic regression, we take this basic building block, and build full-on non-linear neural networks right out of the gate using Python and Numpy. All the materials for this course are FREE.
YouTube 视频:
类别:	Tutorials
语言:	English
总大小:	1.44 GB
哈希信息:	BDB8622A384A13B634BDDFF2A728348E3E8F4A7E
增加:	fclab16
加入的日期:	2019-01-21 04:47:55
洪流地位:	Torrent Verified

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文件列表:

文件	大小
1. Welcome/1. Introduction and Outline.mp4	6.09 MB
1. Welcome/1. Introduction and Outline.vtt	6.18 kB
1. Welcome/2. Where does this course fit into your deep learning studies.mp4	54.08 MB
1. Welcome/2. Where does this course fit into your deep learning studies.vtt	14.26 kB
1. Welcome/3. Where to get the code.mp4	23.37 MB
1. Welcome/3. Where to get the code.vtt	5.70 kB
1. Welcome/4. How to Succeed in this Course.mp4	17.43 MB
1. Welcome/4. How to Succeed in this Course.vtt	3.69 kB
10. Appendix/1. What is the Appendix.mp4	5.45 MB
10. Appendix/1. What is the Appendix.vtt	3.38 kB
10. Appendix/10. How to Uncompress a .tar.gz file.mp4	5.44 MB
10. Appendix/10. How to Uncompress a .tar.gz file.vtt	3.87 kB
10. Appendix/11. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	4.02 MB
10. Appendix/11. BONUS Where to get Udemy coupons and FREE deep learning material.vtt	3.30 kB
10. Appendix/12. Python 2 vs Python 3.mp4	7.84 MB
10. Appendix/12. Python 2 vs Python 3.vtt	5.90 kB
10. Appendix/13. Where does this course fit into your deep learning studies (Old Version).mp4	8.46 MB
10. Appendix/13. Where does this course fit into your deep learning studies (Old Version).vtt	7.43 kB
10. Appendix/14. What order should I take your courses in (part 1).mp4	29.33 MB
10. Appendix/14. What order should I take your courses in (part 1).vtt	15.16 kB
10. Appendix/15. What order should I take your courses in (part 2).mp4	37.62 MB
10. Appendix/15. What order should I take your courses in (part 2).vtt	22.30 kB
10. Appendix/2. What's the difference between neural networks and deep learning.mp4	14.77 MB
10. Appendix/2. What's the difference between neural networks and deep learning.vtt	9.72 kB
10. Appendix/3. Windows-Focused Environment Setup 2018.mp4	186.36 MB
10. Appendix/3. Windows-Focused Environment Setup 2018.vtt	18.94 kB
10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	43.92 MB
10. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	13.99 kB
10. Appendix/5. How to Code by Yourself (part 1).mp4	24.53 MB
10. Appendix/5. How to Code by Yourself (part 1).vtt	21.32 kB
10. Appendix/6. How to Code by Yourself (part 2).mp4	14.80 MB
10. Appendix/6. How to Code by Yourself (part 2).vtt	12.41 kB
10. Appendix/7. How to Succeed in this Course (Long Version).mp4	12.99 MB
10. Appendix/7. How to Succeed in this Course (Long Version).vtt	13.74 kB
10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	38.96 MB
10. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	29.90 kB
10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4	78.30 MB
10. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt	13.18 kB
2. Review/1. Review Section Introduction.mp4	12.54 MB
2. Review/1. Review Section Introduction.vtt	2.61 kB
2. Review/2. What does machine learning do.mp4	25.63 MB
2. Review/2. What does machine learning do.vtt	7.16 kB
2. Review/3. Neuron Predictions.mp4	24.46 MB
2. Review/3. Neuron Predictions.vtt	5.57 kB
2. Review/4. Neuron Training.mp4	38.53 MB
2. Review/4. Neuron Training.vtt	10.85 kB
2. Review/5. Deep Learning Readiness Test.mp4	8.58 MB
2. Review/5. Deep Learning Readiness Test.vtt	7.50 kB
2. Review/6. Review Section Summary.mp4	14.02 MB
2. Review/6. Review Section Summary.vtt	4.91 kB
3. Preliminaries From Neurons to Neural Networks/1. Neural Networks with No Math.mp4	7.35 MB
3. Preliminaries From Neurons to Neural Networks/1. Neural Networks with No Math.vtt	6.48 kB
3. Preliminaries From Neurons to Neural Networks/2. Introduction to the E-Commerce Course Project.mp4	14.80 MB
3. Preliminaries From Neurons to Neural Networks/2. Introduction to the E-Commerce Course Project.vtt	13.17 kB
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/1. Prediction Section Introduction and Outline.vtt	7.71 kB
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/10. Building an entire feedforward neural network in Python.vtt	5.08 kB
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/11. E-Commerce Course Project Pre-Processing the Data.vtt	5.28 kB
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/12. E-Commerce Course Project Making Predictions.vtt	3.45 kB
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/13. Prediction Quizzes.vtt	4.17 kB
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/14. Prediction Section Summary.vtt	2.57 kB
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/2. From Logistic Regression to Neural Networks.vtt	6.88 kB
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/3. Interpreting the Weights of a Neural Network.vtt	9.65 kB
4. Classifying more than 2 things at a time/4. Softmax.mp4	4.56 MB
4. Classifying more than 2 things at a time/4. Softmax.vtt	3.87 kB
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/5. Sigmoid vs. Softmax.vtt	1.81 kB
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/6. Feedforward in Slow-Mo (part 1).vtt	26.46 kB
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/7. Feedforward in Slow-Mo (part 2).vtt	14.30 kB
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/8. Where to get the code for this course.vtt	2.04 kB
4. Classifying more than 2 things at a time/9. Softmax in Code.mp4	7.78 MB
4. Classifying more than 2 things at a time/9. Softmax in Code.vtt	3.65 kB
5. Training a neural network/1. Training Section Introduction and Outline.mp4	4.42 MB
5. Training a neural network/1. Training Section Introduction and Outline.vtt	3.98 kB
5. Training a neural network/10. E-Commerce Course Project Training Logistic Regression with Softmax.mp4	20.25 MB
5. Training a neural network/10. E-Commerce Course Project Training Logistic Regression with Softmax.vtt	6.46 kB
5. Training a neural network/11. E-Commerce Course Project Training a Neural Network.mp4	15.47 MB
5. Training a neural network/11. E-Commerce Course Project Training a Neural Network.vtt	4.66 kB
5. Training a neural network/12. Training Quiz.mp4	8.32 MB
5. Training a neural network/12. Training Quiz.vtt	6.57 kB
5. Training a neural network/13. Training Section Summary.mp4	4.10 MB
5. Training a neural network/13. Training Section Summary.vtt	3.71 kB
5. Training a neural network/2. What do all these symbols and letters mean.mp4	14.57 MB
5. Training a neural network/2. What do all these symbols and letters mean.vtt	13.45 kB
5. Training a neural network/3. What does it mean to train a neural network.mp4	9.74 MB
5. Training a neural network/3. What does it mean to train a neural network.vtt	8.98 kB
5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.mp4	37.32 MB
5. Training a neural network/4. How to Brace Yourself to Learn Backpropagation.vtt	9.31 kB
5. Training a neural network/5. Backpropagation Intro.mp4	19.10 MB
5. Training a neural network/5. Backpropagation Intro.vtt	7.78 kB
5. Training a neural network/6. Backpropagation - what does the weight update depend on.mp4	10.13 MB
5. Training a neural network/6. Backpropagation - what does the weight update depend on.vtt	3.27 kB
5. Training a neural network/7. Backpropagation - recursiveness.mp4	11.19 MB
5. Training a neural network/7. Backpropagation - recursiveness.vtt	2.23 kB
5. Training a neural network/8. Backpropagation in code.mp4	46.34 MB
5. Training a neural network/8. Backpropagation in code.vtt	13.16 kB
5. Training a neural network/9. The WRONG Way to Learn Backpropagation.mp4	6.85 MB
5. Training a neural network/9. The WRONG Way to Learn Backpropagation.vtt	5.35 kB
6. Practical Machine Learning/1. Practical Issues Section Introduction and Outline.mp4	2.73 MB
6. Practical Machine Learning/1. Practical Issues Section Introduction and Outline.vtt	2.30 kB
6. Practical Machine Learning/2. Donut and XOR Review.mp4	1.82 MB
6. Practical Machine Learning/2. Donut and XOR Review.vtt	1.51 kB
6. Practical Machine Learning/3. Donut and XOR Revisited.mp4	13.96 MB
6. Practical Machine Learning/3. Donut and XOR Revisited.vtt	4.25 kB
6. Practical Machine Learning/4. Neural Networks for Regression.mp4	25.38 MB
6. Practical Machine Learning/4. Neural Networks for Regression.vtt	12.31 kB
6. Practical Machine Learning/5. Common nonlinearities and their derivatives.mp4	2.39 MB
6. Practical Machine Learning/5. Common nonlinearities and their derivatives.vtt	1.83 kB
6. Practical Machine Learning/6. Practical Considerations for Choosing Activation Functions.mp4	12.37 MB
6. Practical Machine Learning/6. Practical Considerations for Choosing Activation Functions.vtt	10.09 kB
6. Practical Machine Learning/7. Hyperparameters and Cross-Validation.mp4	6.95 MB
6. Practical Machine Learning/7. Hyperparameters and Cross-Validation.vtt	6.24 kB
6. Practical Machine Learning/8. Manually Choosing Learning Rate and Regularization Penalty.mp4	7.77 MB
6. Practical Machine Learning/8. Manually Choosing Learning Rate and Regularization Penalty.vtt	5.46 kB
6. Practical Machine Learning/9. Practical Issues Section Summary.mp4	9.61 MB
6. Practical Machine Learning/9. Practical Issues Section Summary.vtt	8.79 kB
7. TensorFlow, exercises, practice, and what to learn next/1. TensorFlow plug-and-play example.mp4	15.90 MB
7. TensorFlow, exercises, practice, and what to learn next/1. TensorFlow plug-and-play example.vtt	7.27 kB
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/2. Visualizing what a neural network has learned using TensorFlow Playground.vtt	9.33 kB
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/3. Where to go from here.vtt	5.62 kB
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/4. You know more than you think you know.vtt	6.86 kB
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/5. How to get good at deep learning + exercises.vtt	7.45 kB
7. TensorFlow, exercises, practice, and what to learn next/6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.mp4	14.10 MB
7. TensorFlow, exercises, practice, and what to learn next/6. Deep neural networks in just 3 lines of code with Sci-Kit Learn.vtt	11.55 kB
8. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.mp4	9.82 MB
8. Project Facial Expression Recognition/1. Facial Expression Recognition Project Introduction.vtt	6.11 kB
8. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4	21.43 MB
8. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.vtt	15.75 kB
8. Project Facial Expression Recognition/3. The class imbalance problem.mp4	10.11 MB
8. Project Facial Expression Recognition/3. The class imbalance problem.vtt	7.43 kB
8. Project Facial Expression Recognition/4. Utilities walkthrough.mp4	13.48 MB
8. Project Facial Expression Recognition/4. Utilities walkthrough.vtt	5.40 kB
8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).mp4	25.19 MB
8. Project Facial Expression Recognition/5. Facial Expression Recognition in Code (Binary Sigmoid).vtt	8.75 kB
8. Project Facial Expression Recognition/6. Facial Expression Recognition in Code (Logistic Regression Softmax).mp4	19.76 MB
8. Project Facial Expression Recognition/6. Facial Expression Recognition in Code (Logistic Regression Softmax).vtt	6.82 kB
8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).mp4	23.48 MB
8. Project Facial Expression Recognition/7. Facial Expression Recognition in Code (ANN Softmax).vtt	8.61 kB
8. Project Facial Expression Recognition/8. Facial Expression Recognition Project Summary.mp4	2.92 MB
8. Project Facial Expression Recognition/8. Facial Expression Recognition Project Summary.vtt	1.58 kB
9. Backpropagation Supplementary Lectures/1. Backpropagation Supplementary Lectures Introduction.mp4	1.73 MB
9. Backpropagation Supplementary Lectures/1. Backpropagation Supplementary Lectures Introduction.vtt	1.41 kB
9. Backpropagation Supplementary Lectures/2. Why Learn the Ins and Outs of Backpropagation.mp4	15.63 MB
9. Backpropagation Supplementary Lectures/2. Why Learn the Ins and Outs of Backpropagation.vtt	11.58 kB
9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.mp4	22.84 MB
9. Backpropagation Supplementary Lectures/3. Gradient Descent Tutorial.vtt	5.22 kB
9. Backpropagation Supplementary Lectures/4. Help with Softmax Derivative.mp4	6.28 MB
9. Backpropagation Supplementary Lectures/4. Help with Softmax Derivative.vtt	4.90 kB
9. Backpropagation Supplementary Lectures/5. Backpropagation with Softmax Troubleshooting.mp4	18.15 MB
9. Backpropagation Supplementary Lectures/5. Backpropagation with Softmax Troubleshooting.vtt	15.03 kB
[FreeCourseLab.com].url	126.00 B

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Udemy - Data Science Deep Learning in Python