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【影视】 [FTUForum.com] [UDEMY] Deep Learning Prerequisites Linear Regression in Python [FTU]

收录时间:2020-01-27 文档个数:107 文档大小:1.0 GB 最近下载:2024-10-07 人气:2113 磁力链接

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 85.6 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
1. Welcome/1. Welcome.mp4 33.6 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
1. Welcome/2. Introduction and Outline.mp4 29.8 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
6. Appendix/12. Python 2 vs Python 3.mp4 17.7 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB

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【影视】 [FreeTutorials.Us] deep-learning-prerequisites-the-numpy-stack-in-python

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06 Appendix/027 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
04 Matplotlib/021 Plotting Images.mp4 15.9 MB
02 Numpy/009 More Matrix Operations.mp4 13.2 MB
02 Numpy/003 Lists vs. Arrays.mp4 12.4 MB
05 Scipy/026 Other Interesting Scipy Functions.mp4 11.6 MB
01 Introduction and Outline/001 Whats this course about How can you succeed What should you know first.mp4 10.5 MB
05 Scipy/024 Sampling from a Gaussian Distribution Spherical and Axis-aligned Elliptical.mp4 10.1 MB
03 Pandas/014 More about DataFrames Selecting Rows and Columns.mp4 9.6 MB
03 Pandas/012 Manual Data Loading.mp4 9.5 MB
02 Numpy/004 Dot product 1 For loop vs. cosine method vs. dot function.mp4 9.2 MB
05 Scipy/022 Gaussian PDF and CDF.mp4 8.8 MB
02 Numpy/007 Generating Matrices to Work With.mp4 8.3 MB
04 Matplotlib/020 Histogram.mp4 7.7 MB
03 Pandas/013 DataFrames.mp4 7.5 MB
04 Matplotlib/019 Scatterplot.mp4 7.4 MB
01 Introduction and Outline/002 Where to get the code and how to install libraries.mp4 7.0 MB
02 Numpy/006 Vectors and Matrices.mp4 6.7 MB
04 Matplotlib/018 Line Chart.mp4 6.6 MB
03 Pandas/015 Even More about DataFrames Column Names.mp4 6.3 MB
03 Pandas/016 The apply Function.mp4 5.9 MB

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【影视】 [UdemyCourseDownloader] Deep Learning Prerequisites Logistic Regression in Python

收录时间:2020-02-10 文档个数:41 文档大小:445.1 MB 最近下载:2024-09-29 人气:285 磁力链接

07 Appendix/036 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
04 Practical concerns/026 The donut problem.mp4 25.9 MB
07 Appendix/037 How to Code by Yourself part 1.mp4 25.7 MB
06 Project Facial Expression Recognition/034 Facial Expression Recognition in Code.mp4 25.2 MB
06 Project Facial Expression Recognition/031 Facial Expression Recognition Problem Description.mp4 22.5 MB
03 Solving for the optimal weights/019 E-Commerce Course Project Training the Logistic Model.mp4 17.9 MB
07 Appendix/038 How to Code by Yourself part 2.mp4 15.5 MB
01 Start Here/004 Introduction to the E-Commerce Course Project.mp4 15.5 MB
04 Practical concerns/021 L2 Regularization - Theory.mp4 15.4 MB
04 Practical concerns/027 The XOR problem.mp4 14.9 MB
06 Project Facial Expression Recognition/033 Utilities walkthrough.mp4 14.1 MB
03 Solving for the optimal weights/016 Maximizing the likelihood.mp4 13.3 MB
04 Practical concerns/024 L1 Regularization - Code.mp4 12.6 MB
05 Checkpoint and applications How to make sure you know your stuff/028 BONUS Sentiment Analysis.mp4 12.0 MB
02 Basics What is linear classification Whats the relation to neural networks/009 E-Commerce Course Project Pre-Processing the Data.mp4 11.7 MB
06 Project Facial Expression Recognition/032 The class imbalance problem.mp4 10.6 MB
03 Solving for the optimal weights/011 A closed-form solution to the Bayes classifier.mp4 10.5 MB
03 Solving for the optimal weights/017 Updating the weights using gradient descent - Theory.mp4 9.8 MB
03 Solving for the optimal weights/014 The cross-entropy error function - Code.mp4 9.5 MB
01 Start Here/002 How to Succeed in this Course.mp4 9.2 MB

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【压缩文件】 Deep Learning Prerequisites Logistic Regression in Python

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Deep Learning Prerequisites Logistic Regression in Python.zip 774.8 MB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

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【其他】 [FreeCourseLab.com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python

收录时间:2020-02-13 文档个数:76 文档大小:894.1 MB 最近下载:2024-08-05 人气:1128 磁力链接

6. Appendix/3. Windows-Focused Environment Setup 2018.vtt 195.3 MB
6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
6. Appendix/8. What order should I take your courses in (part 2).mp4 39.5 MB
6. Appendix/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
3. Pandas/7. .values vs .as_matrix().mp4 34.9 MB
6. Appendix/7. What order should I take your courses in (part 1).mp4 30.8 MB
6. Appendix/5. Python 2 vs Python 3.mp4 20.0 MB
6. Appendix/1. Exercises.mp4 17.5 MB
4. Matplotlib/4. Plotting Images.mp4 12.7 MB
2. Numpy/7. More Matrix Operations.mp4 12.6 MB
2. Numpy/1. Lists vs. Arrays.mp4 11.2 MB
1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.mp4 10.6 MB
5. Scipy/5. Other Interesting Scipy Functions.mp4 10.5 MB
5. Scipy/1. Gaussian PDF and CDF.mp4 8.9 MB
3. Pandas/3. More about DataFrames Selecting Rows and Columns.mp4 8.6 MB
2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.mp4 8.6 MB
3. Pandas/1. Manual Data Loading.mp4 8.5 MB
1. Introduction and Outline/2. Where to get the code (and how to install libraries).mp4 7.9 MB

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【影视】 [FreeTutorials.Us] deep-learning-prerequisites-the-numpy-stack-in-python

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06 Appendix/027 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
04 Matplotlib/021 Plotting Images.mp4 15.9 MB
02 Numpy/009 More Matrix Operations.mp4 13.2 MB
02 Numpy/003 Lists vs. Arrays.mp4 12.4 MB
05 Scipy/026 Other Interesting Scipy Functions.mp4 11.6 MB
01 Introduction and Outline/001 Whats this course about How can you succeed What should you know first.mp4 10.5 MB
05 Scipy/024 Sampling from a Gaussian Distribution Spherical and Axis-aligned Elliptical.mp4 10.1 MB
03 Pandas/014 More about DataFrames Selecting Rows and Columns.mp4 9.6 MB
03 Pandas/012 Manual Data Loading.mp4 9.5 MB
02 Numpy/004 Dot product 1 For loop vs. cosine method vs. dot function.mp4 9.2 MB
05 Scipy/022 Gaussian PDF and CDF.mp4 8.8 MB
02 Numpy/007 Generating Matrices to Work With.mp4 8.3 MB
04 Matplotlib/020 Histogram.mp4 7.7 MB
03 Pandas/013 DataFrames.mp4 7.5 MB
04 Matplotlib/019 Scatterplot.mp4 7.4 MB
01 Introduction and Outline/002 Where to get the code and how to install libraries.mp4 7.0 MB
02 Numpy/006 Vectors and Matrices.mp4 6.7 MB
04 Matplotlib/018 Line Chart.mp4 6.6 MB
03 Pandas/015 Even More about DataFrames Column Names.mp4 6.3 MB
03 Pandas/016 The apply Function.mp4 5.9 MB

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【影视】 [FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python

收录时间:2020-03-03 文档个数:102 文档大小:987.8 MB 最近下载:2024-09-29 人气:3765 磁力链接

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
6. Appendix/11. What order should I take your courses in (part 2).vtt 39.5 MB
6. Appendix/11. What order should I take your courses in (part 2).mp4 39.4 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 37.8 MB
6. Appendix/10. What order should I take your courses in (part 1).mp4 30.7 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
6. Appendix/7. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4 18.3 MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4 18.1 MB
3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4 17.2 MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4 15.6 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4 15.1 MB

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【影视】 c.suite setup 4.5.6 with prerequisites

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c.suite Video/2. Разработка стратегии управления в модуле c.Strategy.mp4 499.3 MB
Prerequisites_setup.exe 397.8 MB
c.suite Video/3. Разработка пользовательского интерфейса в модуле c.Mask.mp4 255.7 MB
Carel c.strategy_4.5.6.exe 122.2 MB
c.touch 2.9.0.601 installer.exe 115.1 MB
c.web_2.5.9_setup.exe 88.2 MB
c.suite Video/4. Конфигурирование внешних связей контроллера в модуле c.Design.mp4 75.7 MB
Carel c.factory_4.5.6.exe 50.3 MB
Carel c.mask_4.5.6.exe 31.8 MB
Carel c.design_4.5.6.exe 28.4 MB
c.suite Video/31-Overview_LD_SFC_languages.mp4 26.8 MB
c.suite Video/1. Введение Общая информация о среде разработки c.Suite.mp4 15.7 MB
Carel Virtual pCO_4.5.6.exe 1.2 MB
c.suite Video/1tool-c.suite tips_and_tricks.pdf 1.0 MB
Libraries_setup.exe 886.2 kB
Setup.exe 295.4 kB
c.suite Video/DeviceCreator1.PNG 111.4 kB
c.suite Video/DeviceCreator2.PNG 87.9 kB

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【压缩文件】 Deep Learning Prerequisites The Numpy Stack in Python

收录时间:2020-03-25 文档个数:4 文档大小:562.7 MB 最近下载:2024-10-04 人气:3096 磁力链接

Deep Learning Prerequisites The Numpy Stack in Python.zip 562.7 MB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
TutsGalaxy.com.txt 52 Bytes

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【影视】 B&W Photography. Shoot Prerequisites

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00-03-Prerequisite-Exposure Essentials.mp4 485.1 MB
00-04-Prerequisite-Camera Gear.mp4 385.2 MB
00-05-Prerequisite-Lighting Essentials.mp4 278.8 MB
00-02-Prerequisite-Camera Settings.mp4 202.9 MB
00-01-Prerequisite-Introduction.mp4 32.6 MB

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【压缩文件】 [DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python

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[DesireCourse.Net] Udemy - Deep Learning Prerequisites Logistic Regression in Python.zip 774.8 MB
[DesireCourse.Net].url 51 Bytes
[CourseClub.Me].url 48 Bytes

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【压缩文件】 [DesireCourse.Com] Udemy - Deep Learning Prerequisites Linear Regression in Python

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[DesireCourse.Com] Udemy - Deep Learning Prerequisites Linear Regression in Python.zip 352.9 MB
[DesireCourse.Com].txt 828 Bytes
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【安装包】 Microstation V8i_8.11.05.17 with Prerequisites Pack CRACKED [GPRTU]

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Microstation V8i_8.11.05.17 with Prerequisites Pack CRACKED.zip.exe 548.7 MB
Desc.txt 443 Bytes

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【影视】 Deep Learning Prerequisites The Numpy Stack in Python

收录时间:2020-06-19 文档个数:75 文档大小:699.0 MB 最近下载:2024-09-27 人气:1383 磁力链接

6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
3. Pandas/7. .values vs .as_matrix().mp4 34.9 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.7 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
6. Appendix FAQ/1. Exercises.mp4 17.5 MB
4. Matplotlib/4. Plotting Images.mp4 12.8 MB
2. Numpy/7. More Matrix Operations.mp4 12.6 MB
2. Numpy/1. Lists vs. Arrays.mp4 11.2 MB
1. Introduction and Outline/1. What’s this course about How can you succeed What should you know first.mp4 10.6 MB
5. Scipy/5. Other Interesting Scipy Functions.mp4 10.5 MB
5. Scipy/1. Gaussian PDF and CDF.mp4 8.9 MB
3. Pandas/3. More about DataFrames Selecting Rows and Columns.mp4 8.6 MB
2. Numpy/2. Dot product 1 For loop vs. cosine method vs. dot function.mp4 8.6 MB
3. Pandas/1. Manual Data Loading.mp4 8.5 MB
1. Introduction and Outline/2. Where to get the code (and how to install libraries).mp4 7.9 MB
5. Scipy/3. Sampling from a Gaussian Distribution (Spherical and Axis-aligned Elliptical).mp4 7.9 MB

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【压缩文件】 [ FreeCourseWeb.com ] Deep Learning Prerequisites - Linear Regression in Python (Update).zip

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[ FreeCourseWeb.com ] Deep Learning Prerequisites - Linear Regression in Python (Update).zip 1.0 GB

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【影视】 [DesireCourse.Net] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
2. Numpy (New)/3. Dot Product.mp4 27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
5. Scipy (New)/3. Convolution.mp4 22.5 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Logistic Regression in Python

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8. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
9. Extra Help With Python Coding for Beginners/4. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
1. Start Here/3. Statistics vs. Machine Learning.mp4 58.4 MB
8. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
10. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
11. Appendix FAQ/2. BONUS Where to get discount coupons and FREE deep learning material.mp4 39.7 MB
10. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
10. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
1. Start Here/2. How to Succeed in this Course.mp4 29.3 MB
4. Practical concerns/8. The donut problem.mp4 25.9 MB
2/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
9. Extra Help With Python Coding for Beginners/2. How to Code by Yourself (part 1).mp4 25.7 MB
6. Project Facial Expression Recognition/5. Facial Expression Recognition in Code.mp4 25.2 MB
4. Practical concerns/10. Why Divide by Square Root of D.mp4 24.6 MB
7. Background Review/1. Gradient Descent Tutorial.mp4 23.9 MB
6. Project Facial Expression Recognition/2. Facial Expression Recognition Problem Description.mp4 22.5 MB
2/9. Moore's Law Derivation.mp4 21.2 MB
2/5. Determine how good the model is - r-squared.mp4 20.7 MB
2/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python

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6. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.3 MB
7. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4 63.2 MB
1. Welcome/5. Statistics vs. Machine Learning.mp4 58.2 MB
1. Welcome/1. Welcome.mp4 52.1 MB
6. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
8. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
9. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
8. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
8. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.7 MB
1. Welcome/4. How to Succeed in this Course.mp4 29.3 MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4 25.9 MB
7. Extra Help With Python Coding for Beginners/1. How to Code by Yourself (part 1).mp4 25.7 MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4 24.6 MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4 23.9 MB
2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4 21.2 MB
2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4 20.7 MB
2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4 20.3 MB
8. Effective Learning Strategies for Machine Learning/1. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4 18.3 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

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6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Numpy (New)/7. Generating Data.mp4 66.3 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.5 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
2. Numpy (New)/3. Dot Product.mp4 27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
5. Scipy (New)/3. Convolution.mp4 22.5 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB

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【影视】 [FreeAllCourse.Com] Udemy - Deep Learning Prerequisites The Numpy Stack in Python (V2+)

收录时间:2020-10-23 文档个数:78 文档大小:1.2 GB 最近下载:2024-09-01 人气:356 磁力链接

6. Appendix FAQ/3. Windows-Focused Environment Setup 2018.mp4 195.3 MB
6. Appendix FAQ/6. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Numpy (New)/7. Generating Data.mp4 66.2 MB
1. Welcome and Logistics/1. Introduction and Outline.mp4 63.4 MB
2. Numpy (New)/5. Matrices.mp4 60.0 MB
2. Numpy (New)/2. Arrays vs Lists.mp4 53.2 MB
4. Pandas (New)/3. Selecting Rows and Columns.mp4 51.5 MB
6. Appendix FAQ/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Matplotlib (New)/5. Plotting Images.mp4 40.5 MB
6. Appendix FAQ/9. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
6. Appendix FAQ/8. What order should I take your courses in (part 2).mp4 39.4 MB
6. Appendix FAQ/2. Bonus Section on Machine Learning Basics.mp4 36.7 MB
6. Appendix FAQ/7. What order should I take your courses in (part 1).mp4 30.8 MB
2. Numpy (New)/3. Dot Product.mp4 27.6 MB
1. Welcome and Logistics/5. Extra Resources.mp4 26.5 MB
2. Numpy (New)/1. Numpy Section Introduction.mp4 25.2 MB
4. Pandas (New)/2. Loading in Data.mp4 24.8 MB
5. Scipy (New)/3. Convolution.mp4 22.5 MB
6. Appendix FAQ/5. Python 2 vs Python 3.mp4 20.0 MB
3. Matplotlib (New)/3. Scatterplot.mp4 18.8 MB

猜你喜欢： Prerequisites Numpy FreeAllCourse Deep Udemy Python V2 Learning Com Stack

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