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- 【压缩文件】 [ FreeCourseWeb.com ] Complete Python Course with Machine Learning & Data Science.zip
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[ FreeCourseWeb.com ] Complete Python Course with Machine Learning & Data Science.zip 678.1 MB
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- 【影视】 Practical Reinforcement Learning using Python - 8 AI Agents
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[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/11. Creating a Better Learning Environment for Agent.mp4 165.6 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/8. Learn Function.mp4 150.1 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/3. Autonomous Taxi Agent/7. Visualizing our Agent & Testing in other Environments.mp4 103.2 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/10. Learn Function.mp4 93.4 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/7. Car Reinforcement Learning Agents/6. Agent 2) Training our Agent.mp4 85.0 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/7. Train Function.mp4 82.0 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/9. Preprocess State for Neural Network Function.mp4 79.1 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/7. Creating Model & Learning from Environment.mp4 74.4 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/5. Building Neural Network.mp4 73.8 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/3. Autonomous Taxi Agent/5. Training Q-Learning Agent.mp4 71.7 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/13. Visualizing our Agent.mp4 70.4 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/1. Introduction/1. Introduction.mp4 69.8 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/4. Flappy Bird Reinforcement Learning Agent/10. Visualize Trained Agent.mp4 64.3 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/10. PART 2 Creating Environment with Technical Indicators.mp4 55.8 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/2. SpaceInvaders Agent/4. Building Reinforcement Learning Agent.mp4 55.3 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/9. PART 2 Implementing 89 different Technical Indicators in Data.mp4 54.5 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/5. Mario Reinforcement Learning Agent/12. Save & Load Agent.mp4 54.3 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/1. Setting up Project & Installing Python Packages.mp4 54.1 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/6. Stocks Reinforcement Learning Agents/5. Creating our Environment.mp4 53.3 MB
[TutsNode.com] - Practical Reinforcement Learning using Python - 8 AI Agents/2. SpaceInvaders Agent/3. Building Neural Network.mp4 53.2 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Learning Python for Data Analysis and Visualization
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10. Machine Learning/16. Decision Trees and Random Forests.mp4 252.2 MB
9. Example Projects/17. Data Project - Election Analysis Part 4.mp4 166.6 MB
10. Machine Learning/19. Natural Language Processing Part 3.mp4 156.2 MB
10. Machine Learning/20. Natural Language Processing Part 4.mp4 118.2 MB
10. Machine Learning/18. Natural Language Processing Part 2.mp4 107.0 MB
10. Machine Learning/9. Logistic Regression Part 4.mp4 102.7 MB
9. Example Projects/12. Data Project - Stock Market Analysis Part 5.mp4 98.5 MB
10. Machine Learning/13. Support Vector Machines - Part 2.mp4 90.0 MB
11. Appendix Statistics Overview/9. Hypothesis Testing and Confidence Intervals.mp4 82.7 MB
10. Machine Learning/5. Linear Regression Part 4.mp4 82.5 MB
10. Machine Learning/11. Multi Class Classification Part 2 - k Nearest Neighbor.mp4 77.1 MB
10. Machine Learning/6. Logistic Regression Part 1.mp4 75.3 MB
2. Setup/3. iPythonJupyter Notebook Overview.mp4 72.3 MB
10. Machine Learning/4. Linear Regression Part 3.mp4 72.2 MB
10. Machine Learning/10. Multi Class Classification Part 1 - Logistic Regression.mp4 71.1 MB
10. Machine Learning/15. Naive Bayes Part 2.mp4 68.7 MB
10. Machine Learning/12. Support Vector Machines Part 1.mp4 68.1 MB
10. Machine Learning/17. Natural Language Processing Part 1.mp4 65.8 MB
8. Data Visualization/3. Kernel Density Estimate Plots.mp4 64.9 MB
10. Machine Learning/2. Linear Regression Part 1.mp4 61.5 MB
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- 【压缩文件】 [ CourseMega.com ] Lynda - Learning Lucidchart.zip
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[ CourseMega.com ] Lynda - Learning Lucidchart.zip 352.2 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Introducing the Super Clever Advanced Learning Method (SCALM).zip
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[ FreeCourseWeb.com ] Udemy - Introducing the Super Clever Advanced Learning Method (SCALM).zip 902.9 MB
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- 【影视】 Reinforcement Learning Foundations
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[TutsNode.com] - Reinforcement Learning Foundations/01 Reinforcement learning in a nutshell.mp4 22.0 MB
[TutsNode.com] - Reinforcement Learning Foundations/04 Markov decision process.mp4 18.2 MB
[TutsNode.com] - Reinforcement Learning Foundations/16 SARSA.mp4 15.9 MB
[TutsNode.com] - Reinforcement Learning Foundations/03 A basic RL problem.mp4 15.8 MB
[TutsNode.com] - Reinforcement Learning Foundations/06 Monte Carlo method.mp4 12.8 MB
[TutsNode.com] - Reinforcement Learning Foundations/14 Additional modifications.mp4 11.1 MB
[TutsNode.com] - Reinforcement Learning Foundations/02 Terms in reinforcement learning.mp4 10.7 MB
[TutsNode.com] - Reinforcement Learning Foundations/17 SARSAMAX (Q-learning).mp4 9.6 MB
[TutsNode.com] - Reinforcement Learning Foundations/05 A basic RL solution.mp4 9.0 MB
[TutsNode.com] - Reinforcement Learning Foundations/10 Exploration and exploitation.mp4 8.1 MB
[TutsNode.com] - Reinforcement Learning Foundations/18 Expected SARSA.mp4 7.4 MB
[TutsNode.com] - Reinforcement Learning Foundations/12 First visit and every visit MC prediction.mp4 7.2 MB
[TutsNode.com] - Reinforcement Learning Foundations/22 Your reinforcement learning journey.mp4 6.5 MB
[TutsNode.com] - Reinforcement Learning Foundations/15 The setting.mp4 5.4 MB
[TutsNode.com] - Reinforcement Learning Foundations/11 Monte Carlo prediction.mp4 4.8 MB
[TutsNode.com] - Reinforcement Learning Foundations/19 Deep reinforcement learning.mp4 4.5 MB
[TutsNode.com] - Reinforcement Learning Foundations/20 Multi-agent reinforcement learning.mp4 4.4 MB
[TutsNode.com] - Reinforcement Learning Foundations/21 Inverse reinforcement learning.mp4 4.3 MB
[TutsNode.com] - Reinforcement Learning Foundations/07 Temporal difference methods.mp4 4.0 MB
[TutsNode.com] - Reinforcement Learning Foundations/08 Other RL algorithms.mp4 3.3 MB
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- 【影视】 有膜有样@Whore Training Learning The Ropes(妓女调教)
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有膜有样@新色界@Whore Training Learning The Ropes(妓女调教) cd1.avi 733.8 MB
有膜有样@新色界@Whore Training Learning The Ropes(妓女调教) cd2.avi 732.4 MB
Whore Training Learning The Ropes.jpg 185.5 kB
Whore Training Learning The Ropes b.jpg 136.0 kB
Whore Training Learning The Ropes a.jpg 97.7 kB
有膜有样@新色界欢迎您.txt 2.0 kB
有膜有样@=新色界论坛&【免费开放注册中】= - Powered by Discuz!.url 265 Bytes
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- 【影视】 [FTUForum.com] [UDEMY] Beginner to Advanced Guide on Machine Learning with R Tool [FTU]
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7. Module-7 Regression/7. 7.7 Implementation of Forecasting.mp4 40.0 MB
3. Module-3 Classification/5. 3.5 Implementation of Naive-Bayes Classifier.mp4 35.7 MB
7. Module-7 Regression/6. 7.6 Forecasting.mp4 20.8 MB
1. Module-1 Introduction to Course/1. 1.1 Introduction to the Course.mp4 18.5 MB
2. Module-2 Introduction to validation and its Methods/3. 2.3 Caret package.mp4 16.5 MB
3. Module-3 Classification/3. 3.3 Implementation of KNN Algorithm.mp4 15.4 MB
7. Module-7 Regression/2. 7.2 Implementation of Linear Regression.mp4 12.9 MB
4. Module-4 Black Box Method-Neural network and SVM/3. 4.3 Implement Neural Network in R.mp4 12.9 MB
6. Module-6 Clustering/2. 6.2 K-Means Clustering.mp4 11.8 MB
5. Module-5 Tree Based Models/4. 5.4 Boosting.mp4 11.3 MB
7. Module-7 Regression/3. 7.3 Multiple Covariates Regression.mp4 10.8 MB
4. Module-4 Black Box Method-Neural network and SVM/7. 4.7 Implementation of SVM in R.mp4 9.3 MB
5. Module-5 Tree Based Models/2. 5.2 Implementation of Decision Tree.mp4 9.1 MB
6. Module-6 Clustering/3. 6.3 Implementation of K-Means Clustering.mp4 8.5 MB
5. Module-5 Tree Based Models/3. 5.3 Bagging.mp4 8.1 MB
5. Module-5 Tree Based Models/6. 5.6 Implementation of Random Forest.mp4 7.8 MB
6. Module-6 Clustering/4. 6.4 Hierarchical Clustering.mp4 7.5 MB
7. Module-7 Regression/5. 7.5 Implementation of Logistic Regression.mp4 6.9 MB
3. Module-3 Classification/7. 3.7 Implementation of Linear Discriminant Analysis.mp4 6.7 MB
3. Module-3 Classification/2. 3.2 KNN- K Nearest Neighbors.mp4 6.4 MB
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- 【压缩文件】 Deep learning for object detection using Tensorflow 2
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Deep learning for object detection using Tensorflow 2.zip 5.0 GB
[TGx]Downloaded from torrentgalaxy.to .txt 585 Bytes
TutsNode.com.txt 63 Bytes
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Machine Learning for Absolute Beginners - Level 3.zip
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[ FreeCourseWeb.com ] Udemy - Machine Learning for Absolute Beginners - Level 3.zip 1.0 GB
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- 【压缩文件】 Udacity - Machine Learning Engineer Nanodegree.rar
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Udacity - Machine Learning Engineer Nanodegree.rar 5.8 GB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Build Online Learning Management System Using PHP Framework.zip
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[ FreeCourseWeb.com ] Udemy - Build Online Learning Management System Using PHP Framework.zip 1.1 GB
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- 【压缩文件】 [Tutorialsplanet.NET] Udemy - Deployment of Machine Learning Models in Production Python
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03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 DistilBERT-App.zip 246.7 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/070 FastText Research Paper Review.mp4 167.8 MB
02 Fine Tuning BERT for Disaster Tweets Classification/016 BERT Intro - Disaster Tweets Dataset Understanding.mp4 115.1 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/063 Setting Up uWSGI Server.mp4 106.7 MB
05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/057 Install TensorFlow 2 and KTRAIN.mp4 98.1 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/067 Configuring NGINX with uWSGI, and Flask Server.mp4 96.2 MB
06 Deploy Robust and Secure Production Server with NGINX, uWSGI, and Flask/068 Congrats! You Have Deployed ML Model in Production.mp4 89.0 MB
05 Deploy Your DistilBERT ML Model at AWS Ubuntu (Linux) Machine with Flask/058 Create Extra RAM from SSD by Memory Swapping.mp4 87.8 MB
02 Fine Tuning BERT for Disaster Tweets Classification/019 Number of Characters Distribution in Tweets.mp4 87.6 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/079 Preparing Prediction APIs.mp4 84.7 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/081 Testing Prediction API at AWS Ubuntu Machine.mp4 81.2 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/078 Making Your Server Ready.mp4 80.2 MB
03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/030 What is DistilBERT_.mp4 77.7 MB
02 Fine Tuning BERT for Disaster Tweets Classification/027 Word Embeddings and Classification with Deep Learning Part 2.mp4 77.1 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/049 Deploy ML Model on EC2 Server.mp4 74.4 MB
03 DistilBERT _ Faster and Cheaper BERT model from Hugging Face/041 Deploy DistilBERT Model at Your Local Machine.mp4 72.8 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/072 Data Preparation.mp4 70.7 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/050 Make Your ML Model Accessible to the World.mp4 70.1 MB
04 Deploy Your DistilBERT ML Model at AWS EC2 Windows Machine with Flask/046 Install TensorFlow 2 and KTRAIN.mp4 69.8 MB
07 Multi-Label Classification _ Deploy Facebook's FastText NLP Model in Production/075 Creating Fresh Ubuntu Machine.mp4 62.2 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Deep Learning- Advanced Computer Vision (Updated 11-2018).rar
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[ FreeCourseWeb.com ] Udemy - Deep Learning- Advanced Computer Vision (Updated 11-2018).rar 1.2 GB
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- 【压缩文件】 [DesireCourse.Net] Udemy - Tensorflow and Keras For Neural Networks and Deep Learning
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1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/2.1 Data.zip.zip 558.2 MB
10. Convolution Neural Network (CNN) For Image Analysis/1. Introduction to CNN.mp4 192.4 MB
10. Convolution Neural Network (CNN) For Image Analysis/12.1 planesnet.json.json 190.7 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/6. Install Tensorflow.mp4 176.0 MB
7. Unsupervised Learning With Tensorflow and Keras/3.1 creditcard.csv.csv 150.8 MB
7. Unsupervised Learning With Tensorflow and Keras/7.1 creditcard.csv.csv 150.8 MB
5. Some Preliminary Tensorflow and Keras Applications/9.1 creditcard.csv.csv 150.8 MB
9. Deep Learning For Tensorflow & Keras/7.2 creditcard.csv.csv 150.8 MB
9. Deep Learning For Tensorflow & Keras/5. Wide & Deep Learning (Tensorflow).mp4 128.9 MB
5. Some Preliminary Tensorflow and Keras Applications/1. Theory of Linear Regression (OLS).mp4 118.2 MB
2. Introduction to Python Data Science Packages/4. Numpy Operations.mp4 117.2 MB
10. Convolution Neural Network (CNN) For Image Analysis/6. CNN on Image Data-Part 1.mp4 114.2 MB
5. Some Preliminary Tensorflow and Keras Applications/9. Linear Classifier For Binary Classification.mp4 112.5 MB
6. Some Basic Concepts/2. Theory Behind ANN (Artificial Neural Network) and DNN (Deep Neural Networks).mp4 112.2 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/5. Introduction to IPython.mp4 105.9 MB
9. Deep Learning For Tensorflow & Keras/1. What is Artificial Intelligence.mp4 104.4 MB
5. Some Preliminary Tensorflow and Keras Applications/7. More on Linear Regressor Estimator.mp4 103.4 MB
1. INTRODUCTION TO THE COURSE The Key Concepts and Software Tools/3. Python Data Science Environment.mp4 98.8 MB
6. Some Basic Concepts/1. What is Machine Learning.mp4 95.8 MB
10. Convolution Neural Network (CNN) For Image Analysis/3. Activation Functions.mp4 95.7 MB
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- 【影视】 Big Butts Like It Big Lela Star Learning The Hard Way 720p x265 backcrash.mkv
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Big Butts Like It Big Lela Star Learning The Hard Way 720p x265 backcrash.mkv 245.9 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] CloudAcademy - Introduction to the Principles and Practice of Amazon Machine Learning.zip
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[ FreeCourseWeb.com ] CloudAcademy - Introduction to the Principles and Practice of Amazon Machine Learning.zip 1.6 GB
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- 【影视】 [FreeCoursesOnline.Me] [Packtpub.Com] Real-World Machine Learning Projects Using TensorFlow - [FCO]
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05.Traffic Sign Classifier/0502.Implementing Traffic Sign Classifier.mp4 132.1 MB
01.Getting Started with TensorFlow/0104.Warming Up Examples.mp4 95.0 MB
04.Anomaly Detection Algorithm/0402.Server Computer's Behavior.mp4 75.4 MB
03.Linear Regression with Multi Variable/0303.Problem Solution.mp4 69.3 MB
02.Linear Regression with One Variable/0203.Problem Statement and Solution.mp4 55.0 MB
02.Linear Regression with One Variable/0201.What Is Machine Learning.mp4 19.8 MB
02.Linear Regression with One Variable/0202.Model Representation and Gradient Descent.mp4 15.0 MB
01.Getting Started with TensorFlow/0103.Installing TensorFlow.mp4 14.6 MB
01.Getting Started with TensorFlow/0101.The Course Overview.mp4 12.7 MB
01.Getting Started with TensorFlow/0102.Installing and Preparing the Environment.mp4 10.2 MB
04.Anomaly Detection Algorithm/0401.What Is Anomaly Detection.mp4 5.5 MB
05.Traffic Sign Classifier/0501.Introduction to Traffic Sign Classifier.mp4 3.7 MB
03.Linear Regression with Multi Variable/0301.Model Representation.mp4 2.2 MB
03.Linear Regression with Multi Variable/0302.Problem Statement.mp4 1.5 MB
Exercise Files/exercise_files.zip 208.3 kB
Discuss.FreeTutorials.Us.html 169.7 kB
FreeCoursesOnline.Me.html 110.9 kB
FreeTutorials.Eu.html 104.7 kB
[TGx]Downloaded from torrentgalaxy.org.txt 524 Bytes
How you can help Team-FTU.txt 259 Bytes
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- 【影视】 [FreeCoursesOnline.Me] [Packt] Hands-On Problem Solving for Machine Learning [FCO]
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6.Diagnosing Issues with Models/19.Dealing with Overfitting Using Regularization.mp4 168.7 MB
1.Working with Machine Learning/02.Goals and Variations in Machine Learning.mp4 113.8 MB
5.Predicting the Future/16.Find the Best Model with Hyperparameter Search.mp4 40.9 MB
4.Logistic Regression Classify/11.Exploring and Cleaning the Plants Dataset.mp4 40.2 MB
6.Diagnosing Issues with Models/17.Understanding Our Accuracy in Predicting Numbers.mp4 39.5 MB
5.Predicting the Future/15.Create Complex Models with Scikit-learn Pipelines.mp4 38.8 MB
4.Logistic Regression Classify/13.Implementing Train-Test-Splits and Logistic Regression.mp4 38.7 MB
2.Data Wrangling/06.Parsing Timestamps and Splitting Columns.mp4 38.3 MB
1.Working with Machine Learning/03.Installing WinPython and Using Jupyter Notebooks.mp4 36.3 MB
5.Predicting the Future/14.Build a Robust Model with Cross Validation.mp4 34.4 MB
3.Linear Regression — Predict Median Living Costs/10.Troubleshooting Linear Regression.mp4 34.4 MB
3.Linear Regression — Predict Median Living Costs/09.Implementing Linear Regression with Scikit-learn.mp4 33.3 MB
3.Linear Regression — Predict Median Living Costs/08.Understanding Linear Regression.mp4 33.1 MB
2.Data Wrangling/07.Loading Data from Excel, CSVs, and SQL.mp4 32.5 MB
1.Working with Machine Learning/04.Exploring Your Data Using Pandas.mp4 32.4 MB
2.Data Wrangling/05.Types of Messy Data and How to Clean Them.mp4 32.1 MB
6.Diagnosing Issues with Models/18.Assessing Our Correctness in Predicting Labels.mp4 31.4 MB
1.Working with Machine Learning/01.The Course Overview.mp4 25.4 MB
4.Logistic Regression Classify/12.Understanding Logistic Regression.mp4 25.2 MB
FreeCoursesOnline.Me.html 110.9 kB
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- 【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.7 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
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