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【压缩文件】 [FreeTutorials.Us] Udemy - complete-guide-to-tensorflow-for-deep-learning-with-python

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01 Introduction/001 Introduction.mp4 12.5 MB
01 Introduction/001 Introduction-subtitle-en.srt 4.6 kB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _).mp4 17.2 MB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _)-subtitle-en.srt 17.6 kB
01 Introduction/002 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
01 Introduction/003 FAQ - Frequently Asked Questions.html 1.6 kB
01 Introduction/003 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
02 Installation and Setup/004 Quick Note for MacOS and Linux Users.html 3.1 kB
02 Installation and Setup/005 Installing TensorFlow Environment.mp4 29.2 MB
02 Installation and Setup/005 Installing TensorFlow Environment-subtitle-en.srt 20.9 kB
03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB
03 What is Machine Learning_/006 Machine Learning Overview-subtitle-en.srt 28.2 kB
03 What is Machine Learning_/external_links.txt 132 Bytes
04 Crash Course Overview/007 Crash Course Section Introduction.mp4 2.3 MB
04 Crash Course Overview/007 Crash Course Section Introduction-subtitle-en.srt 2.1 kB
04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
04 Crash Course Overview/008 NumPy Crash Course-subtitle-en.srt 24.8 kB
04 Crash Course Overview/009 Pandas Crash Course.mp4 9.5 MB
04 Crash Course Overview/009 Pandas Crash Course-subtitle-en.srt 7.1 kB
04 Crash Course Overview/010 Data Visualization Crash Course.mp4 20.5 MB

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【压缩文件】 [HiOrla.com] Udemy - complete-guide-to-tensorflow-for-deep-learning-with-python.zip

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【压缩文件】 [ FreeCourseWeb.com ] The Machine Learning and Data Science Course.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Deep Learning Regression with R.zip

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【压缩文件】 [FreeCourseSite.com] Udemy - Deep Learning A-Z™ Hands-On Artificial Neural Networks

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7. Building a CNN/1.1 Section 40 - Convolutional Neural Networks (CNN).zip 234.9 MB
7. Building a CNN/8. Building a CNN - FINAL DEMO!.mp4 160.2 MB
25. Logistic Regression Implementation/8. Logistic Regression - Step 7.mp4 124.4 MB
7. Building a CNN/4. Building a CNN - Step 3.mp4 124.4 MB
4. Building an ANN/5. Building an ANN - Step 2.mp4 116.4 MB
7. Building a CNN/3. Building a CNN - Step 2.mp4 112.0 MB
24. Data Preprocessing Template/8. Data Preprocessing - Step 7.mp4 106.7 MB
4. Building an ANN/8. Building an ANN - Step 5.mp4 106.2 MB
7. Building a CNN/6. Building a CNN - Step 5.mp4 102.5 MB
24. Data Preprocessing Template/6. Data Preprocessing - Step 5.mp4 93.0 MB
25. Logistic Regression Implementation/3. Logistic Regression - Step 2.mp4 88.7 MB
4. Building an ANN/6. Building an ANN - Step 3.mp4 78.7 MB
24. Data Preprocessing Template/4. Data Preprocessing - Step 3.mp4 75.3 MB
7. Building a CNN/2. Building a CNN - Step 1.mp4 74.2 MB
24. Data Preprocessing Template/5. Data Preprocessing - Step 4.mp4 72.4 MB
24. Data Preprocessing Template/7. Data Preprocessing - Step 6.mp4 70.9 MB
4. Building an ANN/3. Building an ANN - Step 1.mp4 69.7 MB
4. Building an ANN/7. Building an ANN - Step 4.mp4 68.5 MB
24. Data Preprocessing Template/2. Data Preprocessing - Step 1.mp4 57.0 MB
25. Logistic Regression Implementation/7. Logistic Regression - Step 6.mp4 55.5 MB

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【压缩文件】 Packt Publishing - Deep Dive into Python Machine Learning

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Packt Publishing - Deep Dive into Python Machine Learning.iso 3.0 GB
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【压缩文件】 [ FreeCourseWeb.com ] Learning Wi-Fi.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Learning Linux Essentials - Taking your first steps in Linux.zip

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【压缩文件】 [DesireCourse.Net] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
39. XGBoost/5. THANK YOU bonus video.mp4 54.8 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 54.2 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 53.7 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.5 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 48.9 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
24. Apriori/5. Apriori in R - Step 3.mp4 46.0 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4 45.8 MB

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