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- 【影视】 Data Science using Machine Learning Algorithm with Big Data
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收录时间:2021-05-03
文档个数:227
文档大小:5.6 GB
最近下载:2025-05-15
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[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/2. Case Study 2 with Scikit Learn Library.mp4 431.8 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/11. Plotly Library Tutorial.mp4 334.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/1. Case Study 1 with Scikit Learn Library.mp4 291.6 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/2. Python Programming Foundation/20. Python Crash Course.mp4 266.8 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/2. Numpy Library Tutorial 1.mp4 228.7 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/3. Matplotlib Library Tutorial 1.mp4 214.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/2. Pandas Tutorial 1.mp4 198.7 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/5. Pandas Tutorial 4.mp4 160.0 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/3. Pandas Tutorial 2.mp4 149.5 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/7. Machine Learning/2. What is Machine Learning.mp4 133.0 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/9. Seaborn Library Tutorial 2.mp4 119.3 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/4. Numpy Library Tutorial 3.mp4 114.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/8. Data Science/1. Collection of Data and Tools to Collect Data.mp4 113.3 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/4. Pandas Tutorial 3.mp4 96.2 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/2. Logistic Regression.mp4 92.5 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/2. How to choose the RIGHT Charts & Graph for your Data.mp4 91.2 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/5. KNN Algorithm.mp4 91.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/8. Seaborn Library Tutorial 1.mp4 86.1 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/3. Numpy Library Tutorial 2.mp4 82.9 MB
[TutsNode.com] - Data Science using Machine Learning Algorithm with Big Data/8. Data Science/2. Mega Mart Example for Increase Sale.mp4 78.4 MB
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- 【影视】 [FreeCourseSite.com] Udemy - Python and Flask Bootcamp Create Websites using Flask!
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收录时间:2018-08-12
文档个数:102
文档大小:5.6 GB
最近下载:2025-05-16
人气:4515
磁力链接
Lesson 1. Course Overview -- DO NOT SKIP THIS LECTURE.mp4 44.6 MB
Lesson 10. HTML Attributes.mp4 70.8 MB
Lesson 11. HTML Assessment Exercise One.mp4 21.0 MB
Lesson 12. HTML Assessment Exercise Solution.mp4 53.6 MB
Lesson 13. Forms Basics.mp4 40.0 MB
Lesson 14. Forms Labels.mp4 60.2 MB
Lesson 15. Forms Selections.mp4 53.1 MB
Lesson 16. HTML Assessment Exercise Two.mp4 9.1 MB
Lesson 17. HTML Assessment Exercise Two - Solution.mp4 61.9 MB
Lesson 18. Introduction to CSS.mp4 4.2 MB
Lesson 19. CSS Part One - Basic Tag Styling.mp4 52.3 MB
Lesson 2. Course Curriculum.mp4 46.5 MB
Lesson 20. CSS Part Two - Backgrounds and Borders.mp4 47.2 MB
Lesson 21. CSS Part Three - Classes and Ids.mp4 38.2 MB
Lesson 22. CSS Part Four - Inspecting Elements in the Browser.mp4 18.9 MB
Lesson 23. CSS Part Five - Fonts.mp4 65.3 MB
Lesson 24. CSS Crash Course - Assessment Exercise.mp4 22.8 MB
Lesson 25. CSS Crash Course - Assessment Exercise Solutions.mp4 46.1 MB
Lesson 26. Bootstrap 4 Overview.mp4 51.1 MB
Lesson 27. Bootstrap Part One - Buttons.mp4 68.4 MB
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- 【影视】 Data Science using Machine Learning Algorithm with Big Data
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收录时间:2022-05-02
文档个数:159
文档大小:5.5 GB
最近下载:2025-05-15
人气:2199
磁力链接
Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/2. Case Study 2 with Scikit Learn Library.mp4 431.8 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/11. Plotly Library Tutorial.mp4 334.1 MB
Data Science using Machine Learning Algorithm with Big Data/9. Scikit-learn Library for Machine Learning and Data Science/1. Case Study 1 with Scikit Learn Library.mp4 291.6 MB
Data Science using Machine Learning Algorithm with Big Data/2. Python Programming Foundation/20. Python Crash Course.mp4 266.8 MB
Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/2. Numpy Library Tutorial 1.mp4 228.7 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/3. Matplotlib Library Tutorial 1.mp4 214.1 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/2. Pandas Tutorial 1.mp4 198.7 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/5. Pandas Tutorial 4.mp4 160.0 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/3. Pandas Tutorial 2.mp4 149.5 MB
Data Science using Machine Learning Algorithm with Big Data/7. Machine Learning/2. What is Machine Learning.mp4 133.0 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/9. Seaborn Library Tutorial 2.mp4 119.3 MB
Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/4. Numpy Library Tutorial 3.mp4 114.1 MB
Data Science using Machine Learning Algorithm with Big Data/8. Data Science/1. Collection of Data and Tools to Collect Data.mp4 113.3 MB
Data Science using Machine Learning Algorithm with Big Data/4. Data Processing, Analytic and Manipulation/4. Pandas Tutorial 3.mp4 96.2 MB
Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/2. Logistic Regression.mp4 92.5 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/2. How to choose the RIGHT Charts & Graph for your Data.mp4 91.2 MB
Data Science using Machine Learning Algorithm with Big Data/10. Case Study of Data Science using Machine Learning with Big Data/5. KNN Algorithm.mp4 91.1 MB
Data Science using Machine Learning Algorithm with Big Data/5. Data Visualization/8. Seaborn Library Tutorial 1.mp4 86.1 MB
Data Science using Machine Learning Algorithm with Big Data/3. Data Operations/3. Numpy Library Tutorial 2.mp4 82.9 MB
Data Science using Machine Learning Algorithm with Big Data/8. Data Science/2. Mega Mart Example for Increase Sale.mp4 78.4 MB
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- 【影视】 The AI Marketing Playbook - Market Using Jasper & ChatGPT
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收录时间:2024-10-16
文档个数:155
文档大小:5.5 GB
最近下载:2025-05-12
人气:228
磁力链接
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/5. The A.I. Marketing Workshop/2. Workshop -Lesson 2- Solve Unique Problems.mp4 197.0 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/1. Introduction/2. Why You Should Take This Course..mp4 178.9 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/5. The A.I. Marketing Workshop/8. Workshop -Lesson 8 - How to Use the AI In the Educational Module Creation.mp4 163.9 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/2. A.I. Marketing With Jasper/6. 0006 - ChatGPT Recipes in Boss Mode.mp4 142.7 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/5. The A.I. Marketing Workshop/1. Workshop -Lesson 1 - Creating Unique Content.mp4 132.2 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/5. The A.I. Marketing Workshop/11. Workshop -Lesson 11 - Use the AI For Direct Response.mp4 117.1 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/2. A.I. Marketing With Jasper/7. 0007 - The AI Art Generator.mp4 116.6 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/2. A.I. Marketing With Jasper/4. 0004 - Using ChatGPT Templates.mp4 97.5 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/2. A.I. Marketing With Jasper/19. 0019 - Creating A Unique Value or Selling Proposition with Jasper.mp4 94.5 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/3. A.I. Marketing With ChatGPT/1. 0021 - What is ChatGPT.mp4 93.6 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/5. The A.I. Marketing Workshop/5. Workshop -Lesson 5 - Why This Works Even If You’re New.mp4 93.6 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/5. The A.I. Marketing Workshop/9. Workshop -Lesson 9 - What To Upsell and Cross Sell.mp4 92.3 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/1. Introduction/1. Course Promotion.mp4 92.1 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/2. A.I. Marketing With Jasper/17. 0017 - Write an Answer to A Quora Question.mp4 87.7 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/5. The A.I. Marketing Workshop/10. Workshop -Lesson 10 - Promoting Participation.mp4 87.7 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/2. A.I. Marketing With Jasper/10. 0010 - Using the Jasper Commands Template.mp4 84.0 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/2. A.I. Marketing With Jasper/12. 0012 - Content Editor in Boss Mode.mp4 83.0 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/2. A.I. Marketing With Jasper/14. 0014 - Allow Jasper to Determine Your Writing Tone.mp4 80.3 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/2. A.I. Marketing With Jasper/20. 0020 - Creating Video Content for YouTube Using Jasper.mp4 79.4 MB
[TutsNode.net] - The AI Marketing Playbook - Market Using Jasper & ChatGPT/4. A.I. Marketing With ChatGPT Tutorial Masterclass/20. 0061 - ChatGPT - Creates the Opt-In E-Mail with Sales Message.mp4 78.4 MB
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- 【影视】 [FreeAllCourse.Com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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收录时间:2021-04-10
文档个数:275
文档大小:5.5 GB
最近下载:2025-05-14
人气:101
磁力链接
16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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收录时间:2023-12-28
文档个数:282
文档大小:5.5 GB
最近下载:2025-05-14
人气:1383
磁力链接
16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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收录时间:2021-06-03
文档个数:284
文档大小:5.5 GB
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人气:973
磁力链接
16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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收录时间:2021-05-01
文档个数:275
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最近下载:2024-07-20
人气:363
磁力链接
16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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收录时间:2021-05-17
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磁力链接
16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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最近下载:2025-05-16
人气:3641
磁力链接
16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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收录时间:2021-03-30
文档个数:282
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最近下载:2025-05-16
人气:829
磁力链接
16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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DannieCarlone_StoneWall_08.mp4 2.0 GB
DannieCarlone_StoneWall_06.mp4 1.4 GB
Resources/Resources.rar 505.8 MB
Resources/dc_Custom_Zbrush_Brush_Combo_Pack.zip 466.3 MB
DannieCarlone_StoneWall_05.mp4 343.7 MB
DannieCarlone_StoneWall_04.mp4 205.3 MB
DannieCarlone_StoneWall_01.mp4 107.1 MB
DannieCarlone_StoneWall_03.mp4 82.4 MB
DannieCarlone_StoneWall_02.mp4 60.5 MB
DannieCarlone_StoneWall_07.mp4 45.9 MB
Resources/Stone_base_01.psd 42.2 MB
DannieCarlone_StoneWall_Intro.mp4 39.5 MB
Resources/Pits_Heights_heights.tif 33.6 MB
Resources/plaster2_heights.tif 33.6 MB
Resources/plaster2_occlusion.tif 33.6 MB
Resources/Rock_Noise_Height.PSD 33.6 MB
DannieCarlone_StoneWall_09.mp4 25.6 MB
Resources/Pits_Heights_AO_occlusion.tiff 7.0 MB
dannie-carlone-new-stone-01-final.jpg 1.3 MB
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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4.!qB 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4.!qB 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4.!qB 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4.!qB 143.9 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4.!qB 143.1 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4.!qB 141.3 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4.!qB 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4.!qB 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4.!qB 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4.!qB 117.9 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4.!qB 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4.!qB 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4.!qB 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4.!qB 104.3 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4.!qB 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4.!qB 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4.!qB 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4.!qB 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4.!qB 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4.!qB 92.5 MB
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15. Graph in Data Structure and Algorithm/26. Kruskal Algorithm - Python Implementation.mp4 203.8 MB
7. Linked List/15. Singly Circular Linked List- Python Implementation.mp4 167.1 MB
15. Graph in Data Structure and Algorithm/16. Dijkstra's Algorithm - Python Implementation.mp4 166.3 MB
7. Linked List/9. Singly Linked List - Python Implementation.mp4 163.6 MB
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9. Binary Search Tree/9. Binary Search Tree - Python Implementation.mp4 141.1 MB
15. Graph in Data Structure and Algorithm/20. Bellmann Ford - Python Implementation.mp4 140.9 MB
10. AVL Tree/11. AVL Tree - Violation and rotation - Python Implementation.mp4 133.5 MB
2. Recursion - Data Structures/9. Search in Binary Search Tree recursive action Implementation in Python.mp4 130.9 MB
7. Linked List/26. Doubly Circular Linked List - Python Implementation.mp4 129.5 MB
7. Linked List/21. Doubly Linked List - Python Implementation.mp4 122.1 MB
11. Heap in Data Structure and Algorithm/10. Heap Tree - - Python Implementation part 2.mp4 103.2 MB
6. Queue - Data Structure/11. Circular Queue - Python Implementation.mp4 87.3 MB
18. Divide and Conquer/8. Convert from one string to another using divide and conquer algorithm.mp4 64.2 MB
8. Tree/13. Binary Tree Traversal - Python Implementation.mp4 61.9 MB
14. Sorting in Data Structure/13. Quick Sort - Python Implementation.mp4 58.5 MB
15. Graph in Data Structure and Algorithm/15. Dijkstra's Algorithm.mp4 58.1 MB
11. Heap in Data Structure and Algorithm/9. Heap Tree - - Python Implementation part 1.mp4 56.6 MB
10. AVL Tree/6. AVL Tree - Insertion, Height, Balance creation - Python Implementation.mp4 53.8 MB
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15. Graph in Data Structure and Algorithm/26. Kruskal Algorithm - Python Implementation.mp4 203.8 MB
7. Linked List/15. Singly Circular Linked List- Python Implementation.mp4 167.1 MB
15. Graph in Data Structure and Algorithm/16. Dijkstra's Algorithm - Python Implementation.mp4 166.3 MB
7. Linked List/9. Singly Linked List - Python Implementation.mp4 163.6 MB
10. AVL Tree/13. AVL Tree - Removal and testing - Python Implementation.mp4 154.6 MB
9. Binary Search Tree/9. Binary Search Tree - Python Implementation.mp4 141.1 MB
15. Graph in Data Structure and Algorithm/20. Bellmann Ford - Python Implementation.mp4 140.9 MB
10. AVL Tree/11. AVL Tree - Violation and rotation - Python Implementation.mp4 133.5 MB
2. Recursion - Data Structures/9. Search in Binary Search Tree recursive action Implementation in Python.mp4 130.9 MB
7. Linked List/26. Doubly Circular Linked List - Python Implementation.mp4 129.5 MB
7. Linked List/21. Doubly Linked List - Python Implementation.mp4 122.1 MB
11. Heap in Data Structure and Algorithm/10. Heap Tree - - Python Implementation part 2.mp4 103.2 MB
6. Queue - Data Structure/11. Circular Queue - Python Implementation.mp4 87.3 MB
18. Divide and Conquer/8. Convert from one string to another using divide and conquer algorithm.mp4 64.2 MB
8. Tree/13. Binary Tree Traversal - Python Implementation.mp4 61.9 MB
14. Sorting in Data Structure/13. Quick Sort - Python Implementation.mp4 58.5 MB
15. Graph in Data Structure and Algorithm/15. Dijkstra's Algorithm.mp4 58.1 MB
11. Heap in Data Structure and Algorithm/9. Heap Tree - - Python Implementation part 1.mp4 56.6 MB
10. AVL Tree/6. AVL Tree - Insertion, Height, Balance creation - Python Implementation.mp4 53.8 MB
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6. ROS2 Simulation Tools - Ignition Gazebo/6. Project ROS2 Simulation Robot.mp4 336.1 MB
4. Using ROS 2 In Python/15. Project Walkthrough Actions.mp4 299.2 MB
6. ROS2 Simulation Tools - Ignition Gazebo/2. Ignition Gazebo Intro.mp4 286.7 MB
6. ROS2 Simulation Tools - Ignition Gazebo/4. Gazebo Classic Model Editor.mp4 284.4 MB
7. Advanced ROS2 Features/5. ROS Bridge - Communicating with ROS1.mp4 264.9 MB
4. Using ROS 2 In Python/14. Project Services.mp4 232.7 MB
8. [Foxy] Some Lectures From The Previous ROS2 Foxy Release/3. [Windows] Installing ROS 2 Foxy.mp4 231.4 MB
8. [Foxy] Some Lectures From The Previous ROS2 Foxy Release/6. ROS Bridge - Communicating With ROS 1 Systems.mp4 221.0 MB
6. ROS2 Simulation Tools - Ignition Gazebo/5. Simulation Launch Files.mp4 181.0 MB
4. Using ROS 2 In Python/13. Creating Services.mp4 175.5 MB
5. Additional ROS2 Tools/2. ROS 2 Packages.mp4 174.6 MB
2. Environment Setup/2. [Optional] Installing VMWare.mp4 161.3 MB
8. [Foxy] Some Lectures From The Previous ROS2 Foxy Release/4. [MacOS] Installing ROS 2 Foxy.mp4 159.6 MB
7. Advanced ROS2 Features/4. Building ROS2 Humble From Source.mp4 146.0 MB
6. ROS2 Simulation Tools - Ignition Gazebo/3. Using Sensors And Plugins In SDF.mp4 136.3 MB
4. Using ROS 2 In Python/6. Configuring Packages.mp4 133.3 MB
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7. Advanced ROS2 Features/3. Security Configurations.mp4 106.5 MB
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4. Online Music Store Website Part 2 - Spring Data with ORM, Hibernate and JPA/2. Add Database Function with Spring Hibernate and Java Persistence - Part 1.mp4 141.0 MB
4. Online Music Store Website Part 2 - Spring Data with ORM, Hibernate and JPA/3. Add Database Function with Spring Hibernate and Java Persistence - Part 2.mp4 134.6 MB
7. Online Music Store Website Part 5 - Order Checkout - Spring Web Flow/3. Add Web Flow Pages - Part 1.mp4 125.9 MB
7. Online Music Store Website Part 5 - Order Checkout - Spring Web Flow/4. Add Web Flow Pages - Part 2.vtt 114.2 MB
7. Online Music Store Website Part 5 - Order Checkout - Spring Web Flow/4. Add Web Flow Pages - Part 2.mp4 114.2 MB
6. Online Music Store Website Part 4 - Developing a More Sophisticated System/9. Customer Registration - Part 2.vtt 108.6 MB
6. Online Music Store Website Part 4 - Developing a More Sophisticated System/9. Customer Registration - Part 2.mp4 108.6 MB
6. Online Music Store Website Part 4 - Developing a More Sophisticated System/14. Cart REST Services - Part 3.mp4 106.8 MB
3. Online Music Store Website Part 1 - Landing Page, Product Model and Product List/7. Develop Dynamic Page to Show Product Data.mp4 98.9 MB
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4. Online Music Store Website Part 2 - Spring Data with ORM, Hibernate and JPA/5. Develop Add-Product Function - Part 2.mp4 98.6 MB
4. Online Music Store Website Part 2 - Spring Data with ORM, Hibernate and JPA/10. Page Layout Revisit.mp4 98.1 MB
5. Online Music Store Website Part 3 - Spring Security, Shopping Cart Functionality/1. Spring Security - Part 1.mp4 98.1 MB
5. Online Music Store Website Part 3 - Spring Security, Shopping Cart Functionality/3. Shopping Cart - Part 1.mp4 96.9 MB
7. Online Music Store Website Part 5 - Order Checkout - Spring Web Flow/2. Spring Web Flow Config.mp4 95.7 MB
7. Online Music Store Website Part 5 - Order Checkout - Spring Web Flow/2. Spring Web Flow Config.vtt 95.6 MB
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5. Online Music Store Website Part 3 - Spring Security, Shopping Cart Functionality/7. Shopping Cart - Part 5.mp4 95.4 MB
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001 Welcome.mp4 11.3 MB
002 Using the exercise files.mp4 2.1 MB
003 What you should know before watching this course.mp4 6.7 MB
004 A word about HDRIs.mp4 4.3 MB
005 Locating V-Ray tools and features in the UI - Part 1.mp4 13.8 MB
006 Locating V-Ray tools and features in the UI - Part 2.mp4 8.5 MB
007 Understanding the linear workflow option.mp4 15.8 MB
008 Using the RT Engine.mp4 22.7 MB
009 V-Ray frame buffer overview.mp4 14.6 MB
010 VFB history controls.mp4 13.9 MB
011 Understanding subdivs.mp4 9.4 MB
012 Creating natural daylight with V-Ray Sun and Sky.mp4 16.2 MB
013 V-Ray Omni Light.mp4 21.0 MB
014 V-Ray Rectangle Light.mp4 17.7 MB
015 V-Ray Spot Light.mp4 13.3 MB
016 V-Ray Dome Light.mp4 16.3 MB
017 V-Ray Sphere Light.mp4 10.6 MB
018 V-Ray IES Light.mp4 17.8 MB
019 Using image-based lighting.mp4 20.0 MB
020 Working with irradiance mapping - Part 1.mp4 13.2 MB
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