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- 【影视】 [UdemyCourseDownloader] AI Programming with Python (Nanodegree Program)
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Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
Part 10-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4 28.1 MB
Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 26.1 MB
Part 02-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 24.9 MB
Part 02-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 22.7 MB
Part 10-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 22.1 MB
Part 02-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4 22.0 MB
Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.mp4 21.8 MB
Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.mp4 21.1 MB
Part 02-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4 20.9 MB
Part 02-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4 19.9 MB
Part 10-Module 01-Lesson 06_Support Vector Machines/07. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4 19.5 MB
Part 02-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.mp4 19.3 MB
Part 02-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4 19.2 MB
Part 02-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.mp4 18.2 MB
Part 02-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4 18.1 MB
Part 02-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4 17.8 MB
Part 02-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4 17.6 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】 [CourseClub.Me] Udacity - AI Programming with Python Nanodegree v2.0.0
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收录时间:2021-05-07
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Part 06-Module 02-Lesson 01_Calculus in Neural Networks/03. Chapterr 2 Neural Networks-f8PYXDsSBpM.mp4 62.1 MB
Part 06-Module 02-Lesson 01_Calculus in Neural Networks/02. Chapterr 1 Neural Networks-hYB4ku0kmW8.mp4 53.0 MB
Part 06-Module 02-Lesson 01_Calculus in Neural Networks/04. Chapterr 3 Neural Networks-Wr5qCQ48t8E.mp4 40.4 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
Part 06-Module 01-Lesson 01_Calculus/12. Chapterr 10 Calculus-1BLFuSXfgMY.mp4 33.6 MB
Part 06-Module 01-Lesson 01_Calculus/10. Chapter 8 Calculus-gKZvmxtM79Q.mp4 30.5 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
Part 06-Module 01-Lesson 01_Calculus/03. Chapter 1 Calculusss-ss3NSODhFJI.mp4 29.4 MB
Part 06-Module 01-Lesson 01_Calculus/08. Chapter 6 Calculus-2cNiF9ebdL0.mp4 28.4 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
Part 06-Module 01-Lesson 01_Calculus/09. Chapter 7 Claculus-5aL7Fn-9NnQ.mp4 28.4 MB
Part 13-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4 28.1 MB
Part 06-Module 01-Lesson 01_Calculus/04. Chapter 2 Calculus-mzEit_Oe13E.mp4 26.8 MB
Part 07-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 26.1 MB
Part 06-Module 01-Lesson 01_Calculus/05. Chapter 3 Calculus-mzllBDdtjIg.mp4 24.9 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 24.9 MB
Part 06-Module 01-Lesson 01_Calculus/06. Chapter 4 Claculus--Ti33VDPA7s.mp4 24.5 MB
Part 06-Module 01-Lesson 01_Calculus/07. Chapter 5 Calculus-QsEJGPVxsB8.mp4 23.2 MB
Part 03-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 22.7 MB
Part 13-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 22.1 MB
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- 【影视】 [FreeAllCourse.Com] Udemy - Advanced AI Deep Reinforcement Learning in Python
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06 Deep Q-Learning/046 Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
06 Deep Q-Learning/047 Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
09 Appendix FAQ/062 Windows-Focused Environment Setup E8.mp4 195.2 MB
07 A3C/054 A3C - Code pt 4.mp4 193.3 MB
08 Theano and Tensorflow Basics Review/060 (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
08 Theano and Tensorflow Basics Review/057 (Review) Theano Basics.mp4 97.9 MB
08 Theano and Tensorflow Basics Review/058 (Review) Theano Neural Network in Code.mp4 91.2 MB
07 A3C/053 A3C - Code pt 3.mp4 88.6 MB
08 Theano and Tensorflow Basics Review/059 (Review) Tensorflow Basics.mp4 85.4 MB
09 Appendix FAQ/068 Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
07 A3C/050 A3C - Theory and Outline.mp4 75.2 MB
07 A3C/052 A3C - Code pt 2.mp4 60.4 MB
07 A3C/051 A3C - Code pt 1 (Warmup).mp4 52.5 MB
09 Appendix FAQ/063 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
09 Appendix FAQ/067 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
09 Appendix FAQ/073 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
09 Appendix FAQ/072 What order should I take your courses in (part 2).mp4 39.4 MB
09 Appendix FAQ/071 What order should I take your courses in (part 1).mp4 30.7 MB
06 Deep Q-Learning/045 Pseudocode and Replay Memory.mp4 29.2 MB
09 Appendix FAQ/064 How to Code by Yourself (part 1).mp4 25.7 MB
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- 【影视】 [FreeTutorials.Us] [UDEMY] Cutting-Edge AI Deep Reinforcement Learning in Python [FTU]
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6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
4. DDPG (Deep Deterministic Policy Gradient)/5. DDPG Code (part 1).mp4 203.0 MB
3. A2C (Advantage Actor-Critic)/10. A2C.mp4 201.6 MB
6. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 175.1 MB
5. ES (Evolution Strategies)/7. ES for Flappy Bird in Code.mp4 149.1 MB
6. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 146.1 MB
3. A2C (Advantage Actor-Critic)/8. Environment Wrappers.mp4 134.8 MB
6. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 123.2 MB
4. DDPG (Deep Deterministic Policy Gradient)/4. MuJoCo.mp4 115.8 MB
2. Review of Fundamental Reinforcement Learning Concepts/3. Markov Decision Processes (MDPs).mp4 113.9 MB
5. ES (Evolution Strategies)/2. ES Theory.mp4 113.5 MB
6. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 104.2 MB
3. A2C (Advantage Actor-Critic)/2. A2C Theory (part 1).mp4 100.9 MB
6. Appendix FAQ/6. How to Code by Yourself (part 1).mp4 86.6 MB
4. DDPG (Deep Deterministic Policy Gradient)/3. DDPG Theory.mp4 84.6 MB
2. Review of Fundamental Reinforcement Learning Concepts/5. Temporal Difference Learning (TD).mp4 82.4 MB
6. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
2. Review of Fundamental Reinforcement Learning Concepts/2. The Explore-Exploit Dilemma.mp4 75.1 MB
3. A2C (Advantage Actor-Critic)/7. Multiple Processes.mp4 73.5 MB
5. ES (Evolution Strategies)/8. ES for MuJoCo in Code.mp4 72.0 MB
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- 【影视】 [DesireCourse.Net] Udemy - Advanced AI Deep Reinforcement Learning in Python
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6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.2 MB
7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
9. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.2 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
9. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
9. Appendix FAQ/13. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 39.4 MB
9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 30.7 MB
6. Deep Q-Learning/6. Pseudocode and Replay Memory.mp4 29.2 MB
9. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25.7 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - GAdvanced AI Deep Reinforcement Learning in Python
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收录时间:2021-03-21
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磁力链接
6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
10. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.0 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.4 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 50.5 MB
2. The Basics of Reinforcement Learning/3. States, Actions, Rewards, Policies.mp4 46.7 MB
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Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 10-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4 28.1 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4 26.1 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4 24.9 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4 22.7 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 10-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 22.1 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4 22.0 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.mp4 21.8 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.mp4 21.1 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4 20.9 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4 19.9 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 10-Module 01-Lesson 06_Support Vector Machines/07. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4 19.5 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.mp4 19.3 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4 19.2 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.mp4 18.2 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4 18.1 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4 17.8 MB
Udacity - AI Programming with Python Nanodegree nd089 v1.0.0/Part 02-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4 17.6 MB
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6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
6. Deep Q-Learning/8. Deep Q-Learning in Theano for Breakout.mp4 245.0 MB
9. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.2 MB
7. A3C/5. A3C - Code pt 4.mp4 193.3 MB
2. The Basics of Reinforcement Learning/2. Elements of a Reinforcement Learning Problem.mp4 110.4 MB
8. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
8. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4 97.9 MB
8. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 91.2 MB
7. A3C/4. A3C - Code pt 3.mp4 88.6 MB
8. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 85.4 MB
10. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
1. Introduction and Logistics/3. Anyone Can Succeed in this Course.mp4 81.6 MB
7. A3C/1. A3C - Theory and Outline.mp4 75.3 MB
2. The Basics of Reinforcement Learning/11. Q-Learning.mp4 70.3 MB
7. A3C/3. A3C - Code pt 2.mp4 60.4 MB
2. The Basics of Reinforcement Learning/9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4 60.1 MB
2. The Basics of Reinforcement Learning/4. Markov Decision Processes (MDPs).mp4 53.3 MB
1. Introduction and Logistics/1. Introduction and Outline.mp4 52.9 MB
7. A3C/2. A3C - Code pt 1 (Warmup).mp4 52.5 MB
2. The Basics of Reinforcement Learning/6. Value Functions and the Bellman Equation.mp4 50.5 MB
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Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4 36.3 MB
Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4 29.7 MB
Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4 28.4 MB
Part 10-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4 28.1 MB
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[TutsNode.com] - Advanced AI Deep Reinforcement Learning in Python/6. Deep Q-Learning/7. Deep Q-Learning in Tensorflow for Breakout.mp4 246.0 MB
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6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
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6. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.8 MB
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9. Appendix/6. How to Code by Yourself (part 1).mp4 86.6 MB
8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.mp4 83.4 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.mp4 75.8 MB
4. Linear SVM/5. Linear and Quadratic Programming.mp4 67.3 MB
7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).mp4 61.6 MB
5. Duality/2. Duality and Lagrangians (part 1).mp4 61.5 MB
9. Appendix/7. How to Code by Yourself (part 2).mp4 59.4 MB
2. Beginner_s Corner/6. Cross-Validation.mp4 57.3 MB
4. Linear SVM/9. Linear SVM with Gradient Descent (Code).mp4 54.5 MB
2. Beginner_s Corner/5. Regression with SVMs.mp4 53.4 MB
4. Linear SVM/4. Linear SVM Objective.mp4 51.6 MB
2. Beginner_s Corner/4. Medical Diagnosis with SVMs.mp4 50.2 MB
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21. Amazon Datascience/1. Machine Learning on AWS.mp4 382.7 MB
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13. Python Input and Output/2. Python Input and Output 2. Text Files.mp4 224.5 MB
15. Object Oriented Programming/3. Oriented Programming - 3.Inheritance Composition.mp4 220.4 MB
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15. Object Oriented Programming/2. Object Oriented Programming - 2.Object Oriented Programming.mp4 206.3 MB
5. Bootstrap/4. Bootstrap 2. Bootstrap Forms.mp4 195.7 MB
5. Bootstrap/2. Bootstrap 1. Intro to Bootstrap Part 1.mp4 179.3 MB
18. Machine Learning/3. Machine Learning Introduction 9.TrainingMLModes.mp4 176.2 MB
21. Amazon Datascience/3. Jupyter on AWS Part 2.mp4 174.4 MB
11. Python Lists, Ranges & Tuples/7. Python Lists Ranges Tuples 7.Slices.mp4 170.8 MB
11. Python Lists, Ranges & Tuples/6. Python Lists Ranges Tuples 6.Ranges.mp4 168.4 MB
12. Python Dictionaries/2. Python Dictionaries 1.Dictionaries and Sets.mp4 167.6 MB
4. CSS/8. CSS 7. CSS Web Fonts.mp4 159.7 MB
11. Python Lists, Ranges & Tuples/8. Python Lists Ranges Tuples 8.Tuples.mp4 157.7 MB
9. Intro to Python/3. Python 3. Python strings.mp4 152.3 MB
7. Document Object Model (DOM)/2. DOM 2. DOM Console Part 1.mp4 148.5 MB
20. Machine Learning AI/20. Machine Learning AI 8.Sentiment Analysis Part 2.mp4 147.3 MB
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