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【影视】 [FreeCourseSite.com] Udemy - Build Creative Website Using HTML5, CSS3, jQuery & Bootstrap

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11. Building Home Section/4. Apply CSS (Part 1) - Home.mp4 137.0 MB
26. Perfecting Responsive Layout/6. Small Devices (Part 2) - Responsive.mp4 132.7 MB
11. Building Home Section/7. Apply CSS (Part 3) - Home.mp4 123.4 MB
11. Building Home Section/6. Apply CSS (Part 2) - Home.mp4 109.8 MB
26. Perfecting Responsive Layout/12. Extra Small Devices (Part 5) - Responsive.mp4 107.9 MB
27. Applying Animation/4. Apply Animation (Part 2).mp4 104.0 MB
26. Perfecting Responsive Layout/2. Media Queries - Responsive.mp4 93.8 MB
11. Building Home Section/2. Setup Background Video - Home.mp4 89.8 MB
27. Applying Animation/3. Apply Animation (Part 1).mp4 89.3 MB
11. Building Home Section/5. Write HTML (Part 2) - Home.mp4 85.9 MB
26. Perfecting Responsive Layout/18. Responsive Layout Testing & Tools.mp4 81.8 MB
26. Perfecting Responsive Layout/8. Extra Small Devices (Part 1) - Responsive.mp4 80.4 MB
25. Building Navigation/5. Show & Hide White Navigation Using jQuery - Navigation.mp4 68.6 MB
26. Perfecting Responsive Layout/15. Apply CSS (Part 1) - Mobile Menu.mp4 68.4 MB
12. Building About Section/3. Apply CSS (Part 1) - About.mp4 66.8 MB
13. Building Team Section/10. jQuery Animation On Scroll - Team.mp4 66.4 MB
26. Perfecting Responsive Layout/9. Extra Small Devices (Part 2) - Responsive.mp4 63.3 MB
16. Building Work Section/4. Add jQuery Filter (Part 1) - Work.mp4 62.4 MB
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【影视】 Lynda - Using Red Giant Universe

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Universe Avid Folder/Eugene Halloween.mp4 599.0 MB
Universe After Effects HUD Examples Folder/(Footage)/Main HUD.mov 563.1 MB
Universe After Effects HUD Examples Folder/(Footage)/Think Procedural_1.mov 548.5 MB
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Universe Avid Folder/Timelapse NL Tower.mov 378.4 MB
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Universe After Effects Chapter 2 Folder/(Footage)/Footage/Bob Text.mov 234.7 MB
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Universe Premiere Folder/Transcoded_Universe/ASide.mov.mov.mov.mov 153.1 MB
Universe After Effects Chapter 2 Folder/(Footage)/Footage/Francis Roll.mp4 152.8 MB
Universe Avid Folder/Monument.mov 143.4 MB
Universe Premiere Folder/Transcoded_Universe/TOBERMORY SLOMO PACIFIC SURFERS.mov.mov.mov.mov 140.9 MB
Universe Premiere Folder/Transcoded_Universe/BSide.mov.mov.mov.mov 130.8 MB
Universe After Effects Chapter 2 Folder/(Footage)/Footage/A120C759_18100463_CANON.mov 128.6 MB
Universe Avid Folder/Background.mp4 117.0 MB
Universe Premiere Folder/Transcoded_Universe/Background.mp4 117.0 MB
Universe Premiere Folder/Transcoded_Universe/LINDSEY TIMELAPSE_Baked.mp4.mov.mov 114.0 MB
Universe After Effects HUD Examples Folder/(Footage)/Footage/FUI_Reduced.aep/Cinema 4D Presentation.aep/Mir OBJs/Car.obj 99.4 MB
Universe Premiere Folder/Transcoded_Universe/SHGINF_S001_S001_T115_1.mp4.mov.mov.mov 96.9 MB
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【影视】 Data Science using Machine Learning Algorithm with Big Data

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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!

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
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【影视】 Data Science using Machine Learning Algorithm with Big Data

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

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

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
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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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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
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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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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
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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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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
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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
Resources/rounded_Cube.obj 1.2 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
15. Graph in Data Structure and Algorithm/25. Kruskal Algorithm.mp4 51.4 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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