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1. (Review) Theano Basics.mp4
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MP4
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78.1 MB
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1. (Review) Theano Basics.srt
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SRT
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7.3 KB
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1. A3C - Theory and Outline.mp4
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MP4
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71.8 MB
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1. A3C - Theory and Outline.srt
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SRT
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20.3 KB
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1. Anaconda Environment Setup.mp4
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MP4
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186.2 MB
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1. Anaconda Environment Setup.srt
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SRT
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20.1 KB
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1. Deep Q-Learning Intro.mp4
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MP4
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5.9 MB
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1. Deep Q-Learning Intro.srt
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SRT
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4.8 KB
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1. How to Code by Yourself (part 1).mp4
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MP4
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24.5 MB
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1. How to Code by Yourself (part 1).srt
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SRT
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22.8 KB
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1. How to Succeed in this Course (Long Version).mp4
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MP4
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18.3 MB
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1. How to Succeed in this Course (Long Version).srt
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SRT
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14.5 KB
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1. Introduction and Outline.mp4
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MP4
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50.5 MB
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1. Introduction and Outline.srt
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SRT
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11.3 KB
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1. N-Step Methods.mp4
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MP4
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15.6 MB
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1. N-Step Methods.srt
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SRT
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3.8 KB
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1. OpenAI Gym Tutorial.mp4
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MP4
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8.7 MB
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1. OpenAI Gym Tutorial.srt
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SRT
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7.7 KB
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1. Policy Gradient Methods.mp4
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MP4
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17.9 MB
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1. Policy Gradient Methods.srt
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SRT
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14.8 KB
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1. Reinforcement Learning Section Introduction.mp4
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MP4
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41 MB
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1. Reinforcement Learning Section Introduction.srt
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SRT
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8.8 KB
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1. What is the Appendix.mp4
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MP4
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5.5 MB
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1. What is the Appendix.srt
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SRT
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3.7 KB
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10. Deep Q-Learning Section Summary.mp4
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MP4
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10.4 MB
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10. Deep Q-Learning Section Summary.srt
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SRT
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6 KB
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10. Epsilon-Greedy.mp4
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MP4
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40.2 MB
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10. Epsilon-Greedy.srt
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SRT
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7.5 KB
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10. Policy Gradient Section Summary.mp4
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MP4
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3.3 MB
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10. Policy Gradient Section Summary.srt
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SRT
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1.9 KB
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10. Theano Warmup.mp4
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MP4
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5.8 MB
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10. Theano Warmup.srt
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SRT
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3.5 KB
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11. Q-Learning.mp4
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MP4
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67.1 MB
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11. Q-Learning.srt
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SRT
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19 KB
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11. Tensorflow Warmup.mp4
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MP4
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5.1 MB
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11. Tensorflow Warmup.srt
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SRT
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2.5 KB
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12. How to Learn Reinforcement Learning.mp4
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MP4
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40.6 MB
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12. How to Learn Reinforcement Learning.srt
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SRT
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7.8 KB
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12. Plugging in a Neural Network.mp4
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MP4
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5.9 MB
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12. Plugging in a Neural Network.srt
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SRT
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4.8 KB
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13. OpenAI Gym Section Summary.mp4
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MP4
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5.3 MB
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13. OpenAI Gym Section Summary.srt
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SRT
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4.2 KB
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13. Suggestion Box.mp4
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MP4
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16.1 MB
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13. Suggestion Box.srt
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SRT
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4.7 KB
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2. (Review) Theano Neural Network in Code.mp4
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MP4
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67.7 MB
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2. (Review) Theano Neural Network in Code.srt
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SRT
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3.9 KB
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2. A3C - Code pt 1 (Warmup).mp4
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MP4
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50.1 MB
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2. A3C - Code pt 1 (Warmup).srt
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SRT
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7.8 KB
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2. BONUS.mp4
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MP4
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37.9 MB
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2. BONUS.srt
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SRT
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7.9 KB
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2. Deep Q-Learning Techniques.mp4
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MP4
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14.4 MB
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2. Deep Q-Learning Techniques.srt
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SRT
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12.3 KB
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2. Elements of a Reinforcement Learning Problem.mp4
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MP4
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105.2 MB
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2. Elements of a Reinforcement Learning Problem.srt
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SRT
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27.1 KB
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2. How to Code by Yourself (part 2).mp4
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MP4
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14.8 MB
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2. How to Code by Yourself (part 2).srt
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SRT
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13.3 KB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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MP4
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43.9 MB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
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SRT
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14.5 KB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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MP4
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0 B
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
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SRT
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0 B
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2. N-Step in Code.mp4
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MP4
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9.5 MB
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2. N-Step in Code.srt
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SRT
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4.2 KB
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2. Policy Gradient in TensorFlow for CartPole.mp4
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MP4
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18 MB
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2. Policy Gradient in TensorFlow for CartPole.srt
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SRT
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8.7 KB
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2. Random Search.mp4
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MP4
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10.3 MB
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2. Random Search.srt
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SRT
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6.9 KB
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2. Where to get the Code.mp4
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MP4
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51.6 MB
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2. Where to get the Code.srt
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SRT
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13.2 KB
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2.1 Github Link.html
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HTML
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102.4 B
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3. (Review) Tensorflow Basics.mp4
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MP4
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63.4 MB
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3. (Review) Tensorflow Basics.srt
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SRT
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6 KB
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3. A3C - Code pt 2.mp4
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MP4
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57.6 MB
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3. A3C - Code pt 2.srt
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SRT
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8.3 KB
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3. Deep Q-Learning in Tensorflow for CartPole.mp4
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MP4
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15 MB
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3. Deep Q-Learning in Tensorflow for CartPole.srt
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SRT
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5.8 KB
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3. How to Succeed in this Course.mp4
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MP4
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43.8 MB
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3. How to Succeed in this Course.srt
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SRT
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8.3 KB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
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MP4
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29.3 MB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
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SRT
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16 KB
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3. Policy Gradient in Theano for CartPole.mp4
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MP4
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13.4 MB
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3. Policy Gradient in Theano for CartPole.srt
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SRT
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4.5 KB
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3. Proof that using Jupyter Notebook is the same as not using it.mp4
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MP4
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78.3 MB
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3. Proof that using Jupyter Notebook is the same as not using it.srt
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SRT
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14.1 KB
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3. Saving a Video.mp4
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MP4
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4.5 MB
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3. Saving a Video.srt
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SRT
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2.4 KB
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3. States, Actions, Rewards, Policies.mp4
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MP4
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44.5 MB
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3. States, Actions, Rewards, Policies.srt
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SRT
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11.7 KB
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3. TD Lambda.mp4
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MP4
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11.8 MB
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3. TD Lambda.srt
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SRT
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9.3 KB
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4. (Review) Tensorflow Neural Network in Code.mp4
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MP4
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78.4 MB
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4. (Review) Tensorflow Neural Network in Code.srt
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SRT
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6 KB
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4. A3C - Code pt 3.mp4
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MP4
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84.5 MB
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4. A3C - Code pt 3.srt
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SRT
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9 KB
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4. CartPole with Bins (Theory).mp4
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MP4
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6 MB
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4. CartPole with Bins (Theory).srt
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SRT
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5.2 KB
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4. Continuous Action Spaces.mp4
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MP4
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6.6 MB
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4. Continuous Action Spaces.srt
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SRT
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5.3 KB
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4. Deep Q-Learning in Theano for CartPole.mp4
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MP4
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13.8 MB
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4. Deep Q-Learning in Theano for CartPole.srt
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SRT
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5.4 KB
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
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MP4
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37.6 MB
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
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SRT
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23 KB
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4. Markov Decision Processes (MDPs).mp4
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MP4
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50.9 MB
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4. Markov Decision Processes (MDPs).srt
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SRT
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13.3 KB
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4. Python 2 vs Python 3.mp4
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MP4
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7.8 MB
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4. Python 2 vs Python 3.srt
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SRT
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6.1 KB
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4. TD Lambda in Code.mp4
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MP4
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7.6 MB
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4. TD Lambda in Code.srt
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SRT
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3.3 KB
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4. Tensorflow or Theano - Your Choice!.mp4
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MP4
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18.9 MB
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4. Tensorflow or Theano - Your Choice!.srt
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SRT
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5.4 KB
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5. A3C - Code pt 4.mp4
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MP4
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184.3 MB
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5. A3C - Code pt 4.srt
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SRT
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21.2 KB
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5. Additional Implementation Details for Atari.mp4
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MP4
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8.5 MB
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5. Additional Implementation Details for Atari.srt
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SRT
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7 KB
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5. CartPole with Bins (Code).mp4
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MP4
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14.7 MB
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5. CartPole with Bins (Code).srt
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SRT
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8 KB
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5. Is Theano Dead.mp4
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MP4
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17.8 MB
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5. Is Theano Dead.srt
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SRT
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12.9 KB
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5. Mountain Car Continuous Specifics.mp4
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MP4
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6.5 MB
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5. Mountain Car Continuous Specifics.srt
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SRT
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5 KB
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5. TD Lambda Summary.mp4
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MP4
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3.6 MB
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5. TD Lambda Summary.srt
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SRT
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3 KB
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5. The Return.mp4
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MP4
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23.8 MB
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5. The Return.srt
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SRT
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6.7 KB
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6. A3C - Section Summary.mp4
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MP4
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8.9 MB
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6. A3C - Section Summary.srt
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SRT
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2.6 KB
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6. Mountain Car Continuous Theano.mp4
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MP4
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19.1 MB
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6. Mountain Car Continuous Theano.srt
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SRT
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9.9 KB
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6. Pseudocode and Replay Memory.mp4
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MP4
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27.8 MB
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6. Pseudocode and Replay Memory.srt
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SRT
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7.8 KB
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6. RBF Neural Networks.mp4
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MP4
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16.5 MB
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6. RBF Neural Networks.srt
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SRT
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14.6 KB
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6. Value Functions and the Bellman Equation.mp4
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MP4
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48.1 MB
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6. Value Functions and the Bellman Equation.srt
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SRT
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12.8 KB
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7. Course Summary.mp4
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MP4
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9.4 MB
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7. Course Summary.srt
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SRT
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6 KB
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7. Deep Q-Learning in Tensorflow for Breakout.mp4
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MP4
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234.6 MB
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7. Deep Q-Learning in Tensorflow for Breakout.srt
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SRT
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28.2 KB
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7. Mountain Car Continuous Tensorflow.mp4
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MP4
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20.1 MB
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7. Mountain Car Continuous Tensorflow.srt
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SRT
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10.3 KB
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7. RBF Networks with Mountain Car (Code).mp4
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MP4
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13.8 MB
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7. RBF Networks with Mountain Car (Code).srt
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SRT
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6.4 KB
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7. What does it mean to “learn”.mp4
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MP4
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31.8 MB
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7. What does it mean to “learn”.srt
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SRT
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8.9 KB
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8. Deep Q-Learning in Theano for Breakout.mp4
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MP4
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233.7 MB
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8. Deep Q-Learning in Theano for Breakout.srt
|
SRT
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28.1 KB
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8. Mountain Car Continuous Tensorflow (v2).mp4
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MP4
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18.8 MB
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8. Mountain Car Continuous Tensorflow (v2).srt
|
SRT
|
7.1 KB
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8. RBF Networks with CartPole (Theory).mp4
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MP4
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3.1 MB
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8. RBF Networks with CartPole (Theory).srt
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SRT
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2.4 KB
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8. Solving the Bellman Equation with Reinforcement Learning (pt 1).mp4
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MP4
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42.9 MB
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8. Solving the Bellman Equation with Reinforcement Learning (pt 1).srt
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SRT
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12.4 KB
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9. Mountain Car Continuous Theano (v2).mp4
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MP4
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22.2 MB
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9. Mountain Car Continuous Theano (v2).srt
|
SRT
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8.3 KB
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9. Partially Observable MDPs.mp4
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MP4
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7.6 MB
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9. Partially Observable MDPs.srt
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SRT
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5.8 KB
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9. RBF Networks with CartPole (Code).mp4
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MP4
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8.9 MB
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9. RBF Networks with CartPole (Code).srt
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SRT
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3.6 KB
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9. Solving the Bellman Equation with Reinforcement Learning (pt 2).mp4
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MP4
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57.3 MB
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9. Solving the Bellman Equation with Reinforcement Learning (pt 2).srt
|
SRT
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15.5 KB
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[Tutorialsplanet.NET].url
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URL
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102.4 B
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