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【影视】 [FreeAllCourse.Com] Udemy- The Complete Machine Learning Course with Python

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6. Tree/6. Project HR.mp4 186.5 MB
7. Ensemble Machine Learning/2. Bagging.mp4 173.5 MB
12. Appendix A1 Foundations of Deep Learning/4. What is Deep Learning.mp4 163.2 MB
3. Regression/2. EDA.mp4 159.0 MB
11. Deep Learning/3. Motivational Example - Project MNIST.mp4 152.0 MB
11. Deep Learning/1. Estimating Simple Function with Neural Networks.mp4 150.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/4. Visualizing CNN.mp4 148.8 MB
3. Regression/15. Data Preprocessing.mp4 142.1 MB
13. Computer Vision and Convolutional Neural Network (CNN)/11. Training Your CNN 2.mp4 134.8 MB
3. Regression/19. CV Illustration.mp4 133.4 MB
10. Unsupervised Learning Clustering/1. Clustering.mp4 131.8 MB
3. Regression/9. Multiple Regression 1.mp4 131.6 MB
13. Computer Vision and Convolutional Neural Network (CNN)/10. Training Your CNN 1.mp4 130.9 MB
4. Classification/1. Logistic Regression.mp4 125.4 MB
3. Regression/7. Robust Regression.mp4 124.8 MB
13. Computer Vision and Convolutional Neural Network (CNN)/16. Feature Extraction.mp4 116.5 MB
3. Regression/12. Polynomial Regression.mp4 116.2 MB
4. Classification/3. Understanding MNIST.mp4 114.3 MB
3. Regression/4. Correlation Analysis and Feature Selection.mp4 110.3 MB
4. Classification/10. Precision Recall Tradeoff.mp4 107.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Data Science - Admission Prediction using Machine Learning.zip

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[ FreeCourseWeb.com ] Udemy - Data Science - Admission Prediction using Machine Learning.zip 314.5 MB

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip

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[ FreeCourseWeb.com ] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python (Updated 2-2020).zip 773.2 MB

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【影视】 Udemy.complete-machine-learning-and-data-science-zero-to-mastery

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16 Career Advice + Extra Bits/261 CWD_ Git + Github.mp4 380.9 MB
05 Data Science Environment Setup/038 Windows Environment Setup 2.mp4 366.1 MB
09 Scikit-learn_ Creating Machine Learning Models/101 Typical scikit-learn Workflow.mp4 353.9 MB
09 Scikit-learn_ Creating Machine Learning Models/102 Optional_ Debugging Warnings In Jupyter.mp4 338.8 MB
16 Career Advice + Extra Bits/255 What If I Don't Have Enough Experience_.mp4 328.1 MB
09 Scikit-learn_ Creating Machine Learning Models/135 Tuning Hyperparameters.mp4 326.6 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/232 Training Your Deep Neural Network.mp4 313.1 MB
09 Scikit-learn_ Creating Machine Learning Models/142 Putting It All Together.mp4 298.5 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/234 Make And Transform Predictions.mp4 294.0 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/175 Turning Data Into Numbers.mp4 280.0 MB
09 Scikit-learn_ Creating Machine Learning Models/110 Choosing The Right Model For Your Data.mp4 275.4 MB
05 Data Science Environment Setup/035 Mac Environment Setup.mp4 275.4 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/185 Preproccessing Our Data.mp4 272.4 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/237 Visualizing And Evaluate Model Predictions 2.mp4 267.6 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/187 Feature Importance.mp4 267.4 MB
12 Milestone Project 2_ Supervised Learning (Time Series Data)/172 Exploring Our Data.mp4 265.1 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/240 Training Model On Full Dataset.mp4 264.9 MB
11 Milestone Project 1_ Supervised Learning (Classification)/154 Finding Patterns 3.mp4 262.3 MB
14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/215 Preparing The Images.mp4 256.6 MB
09 Scikit-learn_ Creating Machine Learning Models/109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4 254.4 MB

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【压缩文件】 [FreeCourseSite.com] Udemy - Deep Learning and NLP A-Z™ How to create a ChatBot

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8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/1.1 seq2seq-chatbot-master.zip 1.2 GB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/2.1 seq2seq-chatbot-master.zip 1.2 GB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/5.1 seq2seq-chatbot-master.zip 1.2 GB
9. Other ChatBot Implementations/2.1 The Best ChatBot.zip 836.7 MB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/3. ChatBot - Step 43 Chatbot model discussion.mp4 104.1 MB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/4. ChatBot - Step 44 Tensorboard.mp4 62.8 MB
5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/6. ChatBot - Step 21.mp4 58.0 MB
5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/7. ChatBot - Step 22.mp4 57.1 MB
6. ---------- PART 3 - TRAINING THE SEQ2SEQ MODEL ----------/13. ChatBot - Step 35.mp4 56.9 MB
11. Annex 2 Recurrent Neural Networks/5. Practical Intuition.mp4 55.4 MB
9. Other ChatBot Implementations/5. THANK YOU bonus video.mp4 54.8 MB
5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/8. ChatBot - Step 23.mp4 52.9 MB
11. Annex 2 Recurrent Neural Networks/4. Long Short Term Memory.mp4 48.2 MB
4. ---------- PART 1 - DATA PREPROCESSING ----------/15. ChatBot - Step 17.mp4 45.7 MB
9. Other ChatBot Implementations/2. The Best ChatBot.mp4 41.3 MB
5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/5. ChatBot - Step 20.mp4 39.7 MB
11. Annex 2 Recurrent Neural Networks/2. What are Recurrent Neural Networks.mp4 39.2 MB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/2. ChatBot - Step 42 Introduction to a new model & setup.mp4 37.3 MB
8. ---------- PART 5 - IMPROVING & TUNING THE SEQ2SEQ MODEL ----------/5. ChatBot - Step 45 Run the new chatbot model.mp4 37.1 MB
5. ---------- PART 2 - BUILDING THE SEQ2SEQ MODEL ----------/9. ChatBot - Step 24.mp4 36.9 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
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【影视】 [FreeCoursesOnline.Me] [Pluralsight] Preparing Data for Feature Engineering and Machine Learning [FCO]

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06 - Implementing Feature Extraction/46 - Working with Geospatial Features.mp4 55.5 MB
Exercise Files.zip 31.6 MB
03 - Preparing Data for Machine Learning/18 - Reading and Exploring the Dataset.mp4 17.1 MB
06 - Implementing Feature Extraction/44 - Extracting Text from Images Using OCR.mp4 15.6 MB
06 - Implementing Feature Extraction/43 - Detecting Keypoints and Descriptors to Perform Image Matching.mp4 15.2 MB
04 - Understanding and Implementing Feature Selection/26 - Calculating and Visualizing Correlations Using Pandas.mp4 15.1 MB
03 - Preparing Data for Machine Learning/16 - Applying Different Techniques to Handle Missing Values.mp4 14.6 MB
06 - Implementing Feature Extraction/40 - Creating Feature Vectors from Text Data.mp4 14.1 MB
04 - Understanding and Implementing Feature Selection/28 - Feature Selection Using Filter Methods.mp4 14.0 MB
03 - Preparing Data for Machine Learning/17 - Detecting and Handling Outliers.mp4 13.6 MB
04 - Understanding and Implementing Feature Selection/29 - Feature Selection Using Wrapper Methods.mp4 13.4 MB
06 - Implementing Feature Extraction/41 - Loading and Transforming Images.mp4 12.8 MB
06 - Implementing Feature Extraction/39 - Performing Normalization Using Different Techniques.mp4 12.1 MB
04 - Understanding and Implementing Feature Selection/25 - Feature Selection Using Missing Value Ratio.mp4 11.3 MB
06 - Implementing Feature Extraction/45 - Extracting Features from Dates.mp4 11.0 MB
02 - Understanding the Role of Features in Machine Learning/07 - Feature Selection, Feature Learning, and Feature Extraction.mp4 10.9 MB
04 - Understanding and Implementing Feature Selection/30 - Feature Selection Using Embedded Methods.mp4 10.7 MB
01 - Course Overview/01 - Course Overview.mp4 10.1 MB
02 - Understanding the Role of Features in Machine Learning/04 - Features and Labels.mp4 9.6 MB
06 - Implementing Feature Extraction/38 - Tokenization and Visualizing Frequency Distributions.mp4 9.2 MB

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【影视】 Lynda - Learning FreeNAS [AhLaN]

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4 - 3. FreeNAS Operation/18 - Managing users and groups.mp4 15.0 MB
4 - 3. FreeNAS Operation/23 - Backups and replication.mp4 15.0 MB
2 - 1. Install and Configure FreeNAS/06 - Exploring the web interface.mp4 15.0 MB
2 - 1. Install and Configure FreeNAS/03 - Planning a FreeNAS installation.mp4 14.5 MB
2 - 1. Install and Configure FreeNAS/07 - System configuration.mp4 13.0 MB
3 - 2. Manage Storage in FreeNAS/14 - Recovering from storage failures.mp4 11.6 MB
3 - 2. Manage Storage in FreeNAS/10 - Configuring virtual devices.mp4 11.4 MB
2 - 1. Install and Configure FreeNAS/04 - Installing FreeNAS.mp4 10.8 MB
3 - 2. Manage Storage in FreeNAS/08 - Understanding ZFS.mp4 10.6 MB
3 - 2. Manage Storage in FreeNAS/12 - Working with ZFS pools.mp4 9.6 MB
3 - 2. Manage Storage in FreeNAS/15 - Snapshots.mp4 9.2 MB
4 - 3. FreeNAS Operation/19 - Shared storage for groups.mp4 9.1 MB
3 - 2. Manage Storage in FreeNAS/13 - Adding storage.mp4 8.1 MB
4 - 3. FreeNAS Operation/20 - Import information from other disks.mp4 7.7 MB
4 - 3. FreeNAS Operation/17 - Sharing storage on the network.mp4 7.4 MB
3 - 2. Manage Storage in FreeNAS/11 - Adding and modifying datasets.mp4 6.1 MB
4 - 3. FreeNAS Operation/21 - Managing services.mp4 6.0 MB
1 - Introduction/02 - Lab setup.mp4 6.0 MB
3 - 2. Manage Storage in FreeNAS/16 - Console storage administration.mp4 5.5 MB
3 - 2. Manage Storage in FreeNAS/09 - Create a ZFS pool.mp4 5.2 MB

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【影视】 [DesireCourse.Com] Udemy - Data Science Supervised Machine Learning in Python

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09 Appendix/035 How to install Numpy Scipy Matplotlib and Sci-Kit Learn.mp4 46.0 MB
04 Decision Trees/021 Decision Tree in Code.mp4 31.8 MB
09 Appendix/036 How to Code by Yourself part 1.mp4 25.7 MB
02 K-Nearest Neighbor/006 KNN in Code with MNIST.mp4 18.8 MB
06 Practical Machine Learning/030 Sci-Kit Learn.mp4 16.6 MB
03 Naive Bayes and Bayes Classifiers/010 Naive Bayes.mp4 16.5 MB
09 Appendix/037 How to Code by Yourself part 2.mp4 15.5 MB
03 Naive Bayes and Bayes Classifiers/012 Naive Bayes in Code with MNIST.mp4 15.1 MB
04 Decision Trees/019 Maximizing Information Gain.mp4 14.6 MB
05 Perceptrons/023 Perceptron in Code.mp4 14.4 MB
05 Perceptrons/022 Perceptron Concepts.mp4 12.8 MB
07 Building a Machine Learning Web Service/033 Building a Machine Learning Web Service Code.mp4 12.4 MB
06 Practical Machine Learning/031 Regression with Sci-Kit Learn is Easy.mp4 11.3 MB
03 Naive Bayes and Bayes Classifiers/015 Linear Discriminant Analysis LDA and Quadratic Discriminant Analysis QDA.mp4 10.9 MB
01 Introduction and Review/004 How to Succeed in this Course.mp4 9.2 MB
05 Perceptrons/024 Perceptron for MNIST and XOR.mp4 9.2 MB
06 Practical Machine Learning/028 Comparison to Deep Learning.mp4 9.1 MB
02 K-Nearest Neighbor/005 K-Nearest Neighbor Concepts.mp4 9.0 MB
04 Decision Trees/017 Decision Tree Basics.mp4 8.7 MB
02 K-Nearest Neighbor/007 When KNN Can Fail.mp4 8.1 MB

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【压缩文件】 LinkedIn Learning - Ruby on Rails 6 Essential Training

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Ex_Files_Ruby_Rails_6_EssT_Ch_7.zip 335.6 MB
Ex_Files_Ruby_Rails_6_EssT_Ch_3.zip 265.7 MB
Ex_Files_Ruby_Rails_6_EssT_Ch_2.zip 226.6 MB
Ex_Files_Ruby_Rails_6_EssT_Ch_4.zip 199.9 MB
Ex_Files_Ruby_Rails_6_EssT_Ch_5.zip 199.6 MB
Ex_Files_Ruby_Rails_6_EssT_Ch_6.zip 100.1 MB
11- Define routes in a Ruby on Rails project.mp4 17.4 MB
33- Define one-to-many associations between models.mp4 17.1 MB
44- Using partials and helpers to organize code.mp4 16.7 MB
43- Update actions - Edit and update.mp4 16.7 MB
20- Solution - Dynamic templates.mp4 16.5 MB
23- Use the command line to generate migrations.mp4 16.1 MB
07- Configure a Ruby on Rails project.mp4 16.1 MB
18- Defining and reading URL parameters.mp4 15.6 MB
36- Using resourceful URL helpers.mp4 15.1 MB
45- Delete actions - Delete and destroy.mp4 14.7 MB
35- Using REST for resourceful routes in a Rails project.mp4 14.5 MB
24- Run migrations to change the database schema.mp4 14.5 MB
32- Find records using ActiveRecord.mp4 14.3 MB
47- Solution - Pages CRUD.mp4 13.8 MB

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【压缩文件】 Introduction to Machine Learning

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Introduction to Machine Learning.zip 10.7 GB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
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【影视】 [self-learning] Курс по T-SQL Путь программиста от новичка к профессионалу Уровень 1 - Новичок (2020)

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Урок 2 – СУБД/Видео - презентация.mp4 64.3 MB
Урок 1 – Введение в базы данных/Видео - презентация.mp4 44.9 MB
Урок 12 – Соединение JOIN/Видео - презентация.mp4 44.0 MB
Урок 7 – Таблицы/Видео - презентация.mp4 41.5 MB
Урок 13 – Условия WHERE/Видео - презентация.mp4 38.6 MB
Урок 22 – Изменение данных в таблицах/1703379222.mp4 28.6 MB
Урок 0 - Введение/Видео - презентация.mp4 26.9 MB
Урок 9 – SELECT/Видео - презентация.mp4 26.7 MB
Урок 16 – Группировка данных/1703376405.mp4 26.3 MB
Урок 18 – Сортировка данных/1703377164.mp4 25.6 MB
Урок 4 – Язык SQL и T-SQL/Видео - презентация.mp4 23.7 MB
Урок 11 – Псевдонимы/Видео - презентация.mp4 22.3 MB
Урок 21 – Вычисляемые столбцы/1703378455.mp4 21.5 MB
Урок 19 – Объединение UNION/1703377633.mp4 21.1 MB
Урок 5 – Создание и удаление базы данных/Видео - презентация.mp4 20.9 MB
Урок 10 – FROM/Видео - презентация.mp4 20.8 MB
Урок 6 – Введение в типы данных/Видео - презентация.mp4 20.7 MB
Урок 3 – Среда SSMS/Видео - презентация.mp4 19.9 MB
Урок 8 – Добавление данных в таблицы/Видео - презентация.mp4 19.6 MB
Урок 20 – Объединение INTERSECT и EXCEPT/1703377972.mp4 17.1 MB

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【压缩文件】 [ CourseHulu.com ] Udemy - Animation 101 - Learning The Basics in ToonBoom Harmony.zip

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[ CourseHulu.com ] Udemy - Animation 101 - Learning The Basics in ToonBoom Harmony.zip 246.0 MB

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【压缩文件】 [ FreeCourseWeb.com ] Lynda - Learning Revit Families.zip

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Deep Learning for Face Detection, Recognition & Aging.zip

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【影视】 [Tutorialsplanet.NET] Udemy - Modern Deep Learning in Python

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17. Appendix/4. Windows-Focused Environment Setup 2018.mp4 195.4 MB
15. PyTorch/1. PyTorch Basics.mp4 122.5 MB
17. Appendix/10. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
17. Appendix/2. What's the difference between neural networks and deep learning.mp4 47.3 MB
11. Project Facial Expression Recognition/5. Class-Based ANN in Theano.mp4 46.1 MB
17. Appendix/5. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
17. Appendix/9. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
14. Keras/3. Keras Functional API.mp4 40.5 MB
17. Appendix/14. What order should I take your courses in (part 2).mp4 39.4 MB
11. Project Facial Expression Recognition/6. Class-Based ANN in TensorFlow.mp4 39.2 MB
15. PyTorch/3. PyTorch Batch Norm.mp4 35.5 MB
15. PyTorch/2. PyTorch Dropout.mp4 34.3 MB
17. Appendix/13. What order should I take your courses in (part 1).mp4 30.8 MB
9. GPU Speedup, Homework, and Other Misc Topics/1. Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
17. Appendix/7. How to Code by Yourself (part 1).mp4 25.7 MB
8. TensorFlow/2. Building a neural network in TensorFlow.mp4 25.0 MB
8. TensorFlow/3. What is a Session (And more).mp4 24.7 MB
2. Review/1. Review of Basic Concepts.mp4 24.5 MB
12. Modern Regularization Techniques/2. Dropout Regularization.mp4 23.8 MB
7. Theano/2. Building a neural network in Theano.mp4 22.8 MB

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【影视】 [FreeTutorials.Eu] Udemy - Machine Learning Projects A-Z Kaggle and Real World Pro

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7. Project 6 Kaggle/1. Part1.mp4 255.3 MB
3. Project 2 Real World Problem/5. Part5.mp4 200.6 MB
3. Project 2 Real World Problem/1. Part1.mp4 185.7 MB
7. Project 6 Kaggle/4. Part4.mp4 180.3 MB
3. Project 2 Real World Problem/2. Part2.mp4 145.9 MB
2. Project 1 Kaggle/2. Playing With The Data.mp4 143.7 MB
2. Project 1 Kaggle/17. Building Machine Learning model part2.mp4 141.7 MB
4. Project 3 Real World Project/3. Part3.mp4 131.6 MB
2. Project 1 Kaggle/5. Train, Test And Cross Validation Split.mp4 121.8 MB
2. Project 1 Kaggle/3. Translating the Problem In Machine Learning World.mp4 118.5 MB
2. Project 1 Kaggle/16. Building Machine Learning model part1.mp4 118.4 MB
7. Project 6 Kaggle/3. Part3.mp4 117.1 MB
7. Project 6 Kaggle/6. Part6.mp4 109.0 MB
3. Project 2 Real World Problem/4. Part4.mp4 108.5 MB
6. Project 5 Kaggle/6. Part6.mp4 107.8 MB
2. Project 1 Kaggle/4. Dealing with Text Data.mp4 102.7 MB
6. Project 5 Kaggle/12. Part12.mp4 102.6 MB
7. Project 6 Kaggle/5. Part5.mp4 99.4 MB
3. Project 2 Real World Problem/3. Part3.mp4 99.3 MB
2. Project 1 Kaggle/1. Introduction to the Problem Statement.mp4 97.8 MB

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【影视】 Deep Learning Foundation Training

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[TutsNode.com] - Deep Learning Foundation Training/2. Deep Learning Models/2. Deep Learning Models - part 2.mp4 744.7 MB
[TutsNode.com] - Deep Learning Foundation Training/1. Introduction to Deep Learning/1. Introduction to Deep Learning - part 1.mp4 470.3 MB
[TutsNode.com] - Deep Learning Foundation Training/4. Deep Learning Platforms Libraries/1. Deep Learning Platforms Libraries - part 1.mp4 470.3 MB
[TutsNode.com] - Deep Learning Foundation Training/2. Deep Learning Models/1. Deep Learning Models - part 1.mp4 401.1 MB
[TutsNode.com] - Deep Learning Foundation Training/3. Additional Deep Learning Models/1. Additional Deep Learning Models - part 1.mp4 394.9 MB
[TutsNode.com] - Deep Learning Foundation Training/4. Deep Learning Platforms Libraries/5. Deep Learning Platforms Libraries - part 5.mp4 324.8 MB
[TutsNode.com] - Deep Learning Foundation Training/1. Introduction to Deep Learning/2. Introduction to Deep Learning - part 2.mp4 281.5 MB
[TutsNode.com] - Deep Learning Foundation Training/3. Additional Deep Learning Models/2. Additional Deep Learning Models - part 2.mp4 270.8 MB
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